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1

Application of the fuzzy analytic hierarchy process for water resources in the Wadi AlHasa catchment, Jordan

Mohammad Alsharifa Hind, Odeh Taleb, Abualhaijaa Mahmoud, Shatanawi Khaldoun, Halalsheh Maha

Journal of Water and Land Development

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2024

|

no. 60

100--111

EN

This article introduces a groundwater vulnerability assessment model that utilises the fuzzy analytic hierarchy process (FAHP) in the Wadi AlHasa catchment, Jordan. The assessment takes into account both geomorphological and hydrogeological variables, employing a comprehensive methodology that integrates various parameters. To evaluate the catchment, the study employs remote sensing and Geographic Information System (GIS) techniques. The analysis of the digital elevation model enables the creation of a map illustrating the diverse geomorphology of the catchment. This geomorphology significantly influences drainage density, direction, and the spatial distribution and intensity of flash flood events. Moreover, the study develops and maps a fuzzy FAHP DRASTIC vulnerability index, which proves to be a valuable tool for assessing the susceptibility of groundwater resources to contamination. The unique feature of the index is its ability to incorporate uncertain or subjective data, providing a means to evaluate the significance of various influencing factors. This information serves as critical support for decision-making and management efforts geared towards safeguarding and enhancing groundwater resources. Within the study area, the DRASTIC vulnerability index values span from 0.08325 to 0.28409, with 18% of the site exhibiting a high vulnerability rate. Additionally, the article implements a managed aquifer recharge model (MAR), with 31% of the area falling into MAR classes. Among these, 22.1% are classified as a high MAR class, while 0.7% belong to a very high MAR class. These findings underscore the feasibility of MAR projects in regions with limited water resources.

2

Fuzzy Multi-criteria Decision Model to Support Product Quality Improvement

Siwiec Dominika, Gawlik Remigiusz, Pacana Andrzej

Management and Production Engineering Review

|

2023

|

Vol. 14, No. 2

134--149

EN

Improving product quality while making decisions remains a challenge. The objective of this research was to develop a model that supports the precise enhancement of product quality through comprehensive analysis of possibilities, product incompatibilities, root causes, and recommended improvement actions. The model incorporated various tools and methods such as the SMARTER method, expert team selection, brainstorming, Ishikawa diagram, 5M+E rule, FAHP, and FTOPSIS methods. The study demonstrated that integrating quality management tools and decision-making methods into a unified model enables the accurate prioritization of activities for product quality management. This integrated approach represents the novelty of this research. The model was evaluated using a mechanical seal made of 410 alloy. The research findings can be valuable to enterprises seeking to enhance product quality at any stage of production, particularly for modified or new products.

3

Assessment of the possibility of locating electric car charging stations using Fuzzy AHP and GIS – the case of Łódź, Poland

Kucharski Adam, Szterlik-Grzybek Paulina

Ekonomia i Środowisko

|

2023

|

nr 1

134--148

EN

This paper examines the possibility of locating electric vehicle charging stations using multi-criteria decision analysis (MCDA) and GIS. The study presents an integrated approach, which can be helpful in spatial planning. Recent years have witnessed a growing interest in using alternative power sources for motor vehicles. It is stimulated by top-down factors, such as regulations introduced by the European Commission or the introduction of the so-called “clean transport zones” by some local governments, as well as the bottom-up ones, including the increase in the cost of maintaining fossil fuel-powered cars. Local governments can employ the analysis presented in the paper to find a coherent development strategy for using electric vehicles (EVs) in cities. Based on the verified hypothesis, the Łódź city area has diverse suitability for EV charging stations, with predominant unfavourable regions for such investments. The research aims to find the methodology for performing the suitability analysis to locate new infrastructure elements in an urban space.

PL

W artykule zbadano możliwość lokalizacji stacji ładowania pojazdów elektrycznych pod kątem wykorzystania wielokryterialnej analizy decyzyjnej (ang. Multicriteria Decision Analysis - MCDA) oraz GIS (ang. Geographic Information Systems–systemy informacji geograficznej). W ostatnich latach obserwuje się wzrost zainteresowania wykorzystaniem alternatywnych źródeł napędu pojazdów mechanicznych. Stymulują go zarówno czynniki odgórne jak przepisy wprowadzane przez Komisję Europejską czy wprowadzanie tzw. stref czystego transportu przez niektóre samorządy, ale i oddolne. Te ostatnie obejmują wzrost kosztów utrzymania samochodów napędzanych paliwami ropopochodnymi, co skłania właścicieli samochodów do poszukiwania sposobów ich ograniczenia. Tego typu badania mogą być dalej wykorzystywane przez samorządy w celu znalezienia spójnej strategii rozwoju wykorzystania aut elektrycznych w miastach. W pracy weryfikowana jest hipoteza mówiąca, że obszar miasta Łodzi jest zróżnicowany pod względem przydatności do lokalizacji stacji ładowania samochodów elektrycznych, z przewagą obszarów niekorzystnych dla tego typu inwestycji. Ponadto badania mają na celu znalezienie metodyki umożliwiającej przeprowadzenie analizy przydatności pod kątem lokalizacji nowych elementów infrastruktury w przestrzeni miejskiej.

4

Analyzing landslide susceptibility, health vulnerability and risk using multi criteria decision-making analysis in Arunachal Pradesh, India

Rehman Sufa, Azhoni Adani

Acta Geophysica

|

2023

|

Vol. 71, no. 1

101--128

EN

Landslides being a widespread disaster are associated with susceptibility, vulnerability and risk. The physical factors inducing landslides are relatively well-known. However, how landslide susceptibility will be exacerbated by climate change, impede the attainment of the sustainable development goals and increase health vulnerability is relatively less explored. We present an integrated assessment of landslide susceptibility, health vulnerability and overall risk to understand these interconnected dimensions using Arunachal Pradesh, India, as a case study, which is susceptible to landslides due to its topography and climate conditions. Landslide susceptibility was examined using twenty landslide conditioning parameters through the fuzzy analytical hierarchy process (FAHP). The susceptibility map was validated using the area under the ROC curve (AUC). National Family Health Survey (NFHS 4) data were used to analyze the health vulnerability, while the overall risk was computed through the integration of susceptibility and vulnerability. Landslide susceptibility analysis indicated that nearly 22% area of the state is characterized by moderate susceptibility followed by high (17%) and very high susceptibility (13%). High elevation, slope, rainfall, SPI, drainage density and complex geology were identified as the causative factors of landslides. In the case of health vulnerability, East Kameng and Lohit districts were found to be very highly vulnerable, while Papum Pare, Changlang and Tirap districts experience high health vulnerability due to high degree of exposure and sensitivity. Overall risk analysis revealed over 16.8% area of the state is under moderate risk followed by high (9.8%) and very high (4.2%) risk. Linking this analysis with the climate change projections and SDG goals attainment revealed that Papum Pare, Upper Subansiri, Tirap and West Kameng require priority for lessening susceptibility, vulnerability and risk for achieving sustainable development. A strong correlation (99%) between HVI and risk further demonstrates the need for lessening health vulnerability and risk in the study area. Furthermore, our study contributes additional insights into landslide susceptibility by considering heal vulnerability and risk which may help in planning sustainable development strategies in a changing climate.

5

Optimizing service quality management of the bus rapid transport system in lagos using the multi-criteria decision analysis

AdebiyI Sulaimon Olanrewaju, Akinrinmade Oluwagbenga John, Amole Bilqis Bolanle

Zeszyty Naukowe. Transport / Politechnika Śląska

|

2022

|

z. 116

5--23

EN

Evaluation of Bus Rapid Transportation (BRT) based on service quality criteria and customer satisfaction can never be overemphasized due to its derivative, such as optimizing the performance of the transportation industry. Thus, this study employs the multi-criteria decision-making (MCDM) method for the evaluation of service quality and customer satisfaction of the BRT system in Nigeria using the fuzzy analytical hierarchy process (FAHP) and visekriterijumska optimizacija i kompromisno resenje (VIKOR), which are components of multi-criteria optimization and compromise solution to evaluate notable factors responsible for the user’s perspective. Research design is quantitative and analytical in nature through a survey of experts who are users of BRT services. Samples were drawn through a multi-stage sampling procedure and a total of 402 copies of questionnaires were administered to BRT users based on their experience with the system. Hence, VIKOR and FAHP methods are applied to analyse data retrieved from the field on services quality and performance level. The service quality (SERVQUAL) model (a multi-dimensional research instrument designed to capture consumer expectations and perceptions of service) was modified thereby generating six dimensions and thirty-six service criteria for this research. The FAHP method was employed to determine the weights of the decision criteria because there is a need to measure commuters’ perceptions and expectations based on numerical linguistic variables due to the vague, imprecise and complexity related to the nature of services. The criteria weights and responses of the survey analysis (data) related with the BRT are input for the VIKOR method for ranking. As measuring the perception of service quality based on crispy value can often be misleading, hence, the use of the fuzzy MCDM method can give a more realistic measurement. The result of the multi-criteria decision analysis revealed that pricing quality is the most relevant service quality dimension to users’ satisfaction, followed by the empathy quality dimension. The summary of strength and weakness areas of service quality discovered through the research and its managerial implications with recommendations were related to the appropriate authority in charge of the BRT system for improved performance.

6

An improving the process of risk assessment occupational for industry

Siwiec Dominika, Pacana Andrzej

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

|

2021

|

z. 151

607--614

EN

Purpose: The aim was improving the process of risk assessment occupational for industry, by implemented in this process the fuzzy scale (and the Fuzzy Analytic Hierarchy Process, FAHP). Design/methodology/approach: The FAHP method was integrated with the PN-N-18002 method. Findings: It was demonstrated that implemented the FAHP method in PN-N-18002 method allows on more precise an assessment of the root of threats on the workplace. Research limitations/implications: This method can be used to risk assessment of each workplaces, by integrating the FAHP with any methods of occupational risk assessment. Practical implications: The assumption was to improve the method of risk assessment occupational for industry, in which as was shown the number of accidents in work was the highest. Test of the proposed method was carried out for the operator's position of a floating excavator KG-2.5 in one of Podkarpacie enterprise extracting aggregate. Social implications: This method can be helped to the entity performing the occupational risk assessment in precise identify the root of threats on the workplaces. This will ensure a safe workplace. Originality/value: The originality of the proposed method is to achieve more precise an assessment of the root of threats in the workplace than by using the traditional risk assessment methods.

7

Badanie wskaźnika zielonej konkurencyjności przemysłu wytwórczego w aglomeracji miejskiej delty rzeki Jangcy

Cao Yuhong, You Jianxin, Shi Yongjiang, Hu Wei

Problemy Ekorozwoju

|

2021

|

Vol. 16, nr 1

143--156

EN

From the perspective of the complex multi-factors that affect manufacturing green competitiveness, this study constructs a green competitiveness index measurement indicator system of manufacturing industry in Yangtze River Delta Urban Agglomeration, which includes five dimensions: economic creativity, technological innovation, energy and environmental protection, industrial structure optimization, and social service capabilities.The manufacturing green competitiveness index in Yangtze River Delta Urban Agglomeration in 2014-2018 is measured and analyzed by using the comprehensive evaluation model of gray correlation projection method based on the combined weights of FAHP and maximum deviation. The results show that manufacturing green competitiveness of Yangtze River Delta Urban Agglomeration generally shows a relatively stable and continuous improvement trend, but the regional differences are large: regional cities and general node cities have significantly lower manufacturing green competitiveness than the leading cities and hub cities, and the pace of industrial structure transformation and upgrading in the whole region also needs to be accelerated. Based on these results, this paper puts forward some policy recommendations for comprehensive development of Yangtze River Delta Urban Agglomeration manufacturing industry: focus on improving the effective guidance of the positive incentive effect of technological innovation on manufacturing green competitiveness level, and solving the problem of insufficient technological innovation achievement transformation benefits; replan regional space, strengthen the integration of all industrial resources, reducing homogeneous competition; strengthen the ecological co-construction of regional manufacturing and improve social service security level.

PL

Z perspektywy złożonych czynników, które wpływają na konkurencyjność ekologiczną produkcji, w niniejszym artykule opracowano system pomiaru wskaźnika konkurencyjności ekologicznej dla przemysłu wytwórczego w aglomeracji miejskiej w delcie rzeki Jangcy. Obejmuje on pięć wymiarów: kreatywność ekonomiczną, innowacje technologiczne, energię i ochronę środowiska, optymalizację struktury przemysłowej i zakres usług społecznych. Wskaźnik konkurencyjności ekologicznej produkcji w aglomeracji miejskiej delty rzeki Jangcy w latach 2014-2018 jest mierzony i analizowany za pomocą kompleksowego modelu oceny metodą projekcji szarej korelacji opartej na połączonych wagach FAHP i maksymalnym odchyleniu. Wyniki pokazują, że konkurencyjność produkcji ekologicznej w aglomeracji miejskiej delty rzeki Jangcy na ogół wykazuje względnie stabilną i ciągłą tendencję do poprawy, ale różnice regionalne są duże: miasta regionalne i główne miasta węzłowe mają znacznie niższą konkurencyjność ekologiczną w zakresie produkcji niż miasta wiodące i miasta centralne, a tempo transformacji i modernizacji struktury przemysłowej w całym regionie również wymaga przyspieszenia. W oparciu o te wyniki, w niniejszym artykule przedstawiono pewne zalecenia polityczne dotyczące wszechstronnego rozwoju przemysłu wytwórczego w aglomeracji miejskiej delty rzeki Jangcy: skupiono się na sformułowaniu skutecznych wskazówek dotyczących pozytywnego efektu zachęty ze strony innowacji technologicznych na poziom konkurencyjności produkcji ekologicznej oraz na rozwiązaniu problemu niewystarczającej korzyści z transformacji osiągnięć innowacji technologicznych; należy przebudować przestrzeń regionalną, wzmocnić integrację wszystkich zasobów przemysłowych, zmniejszając jednorodną konkurencję; wzmocnić ekologiczne współtworzenie regionalnej produkcji i poprawić poziom zabezpieczenia społecznego.

8

Do the factors affecting Incoterms® selection differ for exporters and importers? A fuzzy analytical hierarchy process (FAHP) application

Unal Tugce Danacı, Metin Ismail

LogForum

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2021

|

Vol. 17, no. 2

299--309

EN

Background: There are a few studies that have findings regarding the factors affecting Incoterms® selection decisions, however, the importance weights of the factors weren't revealed prominently for importers and exporters separately. This study intends to overcome this gap by examining the factors that influence Incoterms® selections to find out whether there are any differences or not between exporters and importers. For this purpose, we analyzed the importance weights of each factor and ranked them for both two parties. Methods: We constructed a conceptual model based on different approaches, previous studies and expert decisions. Data were collected from 19 experts, 9 of whom are importers and 10 are exporters, via e-mail. We conducted Fuzzy Analytical Hierarchy Process (FAHP) with the geometric mean method to find out the importance weights of each criterion. Results: Findings of the study revealed that the most important factor influencing the selection of international commercial terms for both exporters and importers is “transportation costs” while the least important one is “firm size”. Four factors which are “relations with forwarding agents, type of goods, complexity of transportation and distance” differ according to importers and exporters in their selections. Relations with forwarding agents and distance are found to be more influential for exporters while the type of goods and complexity of transportation are more effective for importers. Conclusions: We conclude that cost related factors are the most influential ones and apart from a few factors, there is no significant divergence between the selection decisions of importers and exporters. The small sample size and the sample consisting of companies operating in different sectors in a particular region are among the limitations of the study. We suppose that the factors determined in this study will contribute to future studies with a larger sample using different analysis methods.

PL

Wstęp: Są dostępne badania analizujące jakie czynniki i w jaki sposób wpływają na wybór warunków Incoterms®, jednak istotność wagi poszczególnych czynników osobno dla eksporterów i importerów nie są należycie zbadana. Praca ta ma na celu uzupełnienie tej luki w badaniach poprzez zbadania wpływu wyboru warunków Incoterms® oraz sprawdzenie czy są różnice pomiędzy importerami i eksporterami. W tym celu przeprowadzone analizę wagi poszczególnych czynników dla obu grup. Metody: Stworzono model koncepcyjny oparty na różnych podejściach, poprzednich badaniach oraz decyzjach ekspertów. Dane zostały zebrane poprzez pocztę mailową od 19 eksporterów Incoterms®, wśród których 9 jest importerami, a 10 eksporterami. Następnie przeprowadzono analizę Fuzzy Analytical Hierarchy Process (FAHP) przy zastosowaniu średniej geometrycznej w celu określenia istotności wag poszczególnych kryteriów. Wyniki: W wyniku przeprowadzonej analizy stwierdzono, że najistotniejszym czynnikiem wpływającym na wybór INCOTERMS zarówno dla eksporterów, jak i dla importerów są koszty transportu, podczas gdy najmniej istotnym czynnikiem jest wielkość firmy. Istotność czterech czynników: relacje ze spedycjami, typ wyrobów, kompleksowość transportu oraz odległość, różniła się w zależności od grupy. Relacje ze spedytorami oraz odległość były istotniejszym czynnikiem dla eksporterów, podczas gdy typ wyrobów i kompleksowość transportu miały większe znaczenie dla importerów. Wnioski: W trakcie badania ustalono, że czynniki związane z kosztami mają istotniejszy wpływ na podejmowane decyzje oraz, że z kilkoma wyjątkami, nie ma istotnych różnic pomiędzy czynnikami wpływającymi na decyzję pomiędzy importerami a eksporterami. Mała próba badawcza złożona dodatkowo z przedsiębiorstw operujących w różnych sektorach gospodarki były głównymi ograniczenia tych badań. Niemniej mogą one stanowić podstawę do dalszych pogłębionych badań w tym zakresie.

9

Metoda doboru penetrantów dla przemysłowych badań nieniszczących

Siwiec Dominika, Bednárowá Lucia, Pacana Andrzej

Przemysł Chemiczny

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2020

|

T. 99, nr 5

771--773

PL

Zaproponowano metodę wspomagającą proces decyzyjny doboru penetrantów, polegającą na zintegrowaniu dwóch technik: analizy kosztowo-jakościowej i metody FAHP (fuzzy analytical hierarchy process). W obszarze przemysłowego doboru penetrantów fluorescencyjnych zaproponowana metoda pozwoliła na częściowe ograniczenie subiektywizmu występującego podczas analiz decyzyjnych. Osiągnięto to poprzez zastosowanie rozmytej skali Saaty'ego.

EN

Six com. fluorescence penetrants used for nondestructive testing construction materials were studied for environmental impact and washability (removing time) as well as assessed for quality and purchase expenditure to identify the most efficient method for selection of the agents. The penetrant selected in fuzzy anal. hierarchy process was not optimal from cost-quality point of view. Therefore, the ranking list of penetrants was based on decision making coeffs. The evaluation method was recommended for practical use under industrial conditions.

10

Identifying the source of the problem by using implemented the FAHP method in the selected quality management techniques

Siwiec Dominika, Pacana Andrzej

Production Engineering Archives

|

2020

|

Vol. 26, Iss. 1

5--10

EN

Making a complex analysis of the problem in order to identify the root of its occurrence, is the process burdened with the risk of uncertainty. This risk is in case of the quality analysis, in which the choice and making a decision is not confirmed by reliable information (number). This risk is in case of the quality analysis, in which the choice and making a decision is not confirmed by reliable information (number). But these techniques do not include the risk of uncertainty, so their sequence should be expanded about the appropriate method, to take this into account. It was considered beneficial to demonstrate that this method is the Fuzzy Analytic Hierarchy Process method (FAHP). The aim of the study to implement the FAHP method in the sequence of traditional quality management techniques (Ishikawa diagram and 5Why method) and proposition new, not practiced yet the method to complex analysis of the problem and identify the root of its root cause. The subject of the study was the furniture front, on which the incompatibility was identified (shortened foil). From the categories to which the potential causes of the inadequate foil were assigned, by using the Ishikawa diagram and the FAHP method in an integrated manner, were defined the most important categories (method and machine) in a precise (numerical) way. Next, using the same tools, the relationship between the potential causes was analysed and selected the main causes of the problem. Then, by using the 5Why method the root of the problem was defined (lack of the new machine and failure to comply with labor standards). The obtained results could differ depending on the subjectivity, however, the method itself proved to be effective and can be used to solve other types of the problem.

11

Multi-criteria decision analysis for simplified evaluation of clean energy technologies

Kluczek Aldona

Production Engineering Archives

|

2019

|

Vol. 23

3--11

EN

Technology assessment (TA) is not a new concept. High value energy technology identification needs to be followed by a decision process in which all shareholders contribute. A case study on Combined and Heat Power (CHP) technologies considered is presented to illustrate the applicability of fuzzy analytical hierarchy assessment approach (FAHP). The goal of this paper is to identify and evaluate the best variant of CHP technologies using multi-criteria that are technical feasibly and cost effective reflecting performance parameters. The results depict that technology A2 with an overall ranking of 0.438 is the best alternative compared to others. Taking into consideration decision parameters for the section, A1 is found to be relatively most important with a rating of 0.434 with its reliability and cost effectiveness. The presented fuzzy-based methodology is general expected to be used by a diverse target groups in energy sectors.

12

Risk assessment of tunnel portals in the construction stage based on fuzzy analytic hierarchy process

Deng Xianghui, Wang Rui, Xu Tian

Archives of Civil Engineering

|

2018

|

Vol. 64, nr 4/I

69--87

EN

This study presents a fuzzy analytic hierarchy process (FAHP) by integrating analytic hierarchy process (AHP) and fuzzy cognition to evaluate the construction risks of tunnel portals. Wuguanyi Tunnel is taken as the research objective to validate the performance of the proposed method. The result shows that the proposed decision making method can effectively identify risk factors and determine the risk level during the construction of tunnel portals. Finally, the corresponding control measures during the construction of the Wuguanyi Tunnel portal are proposed according to the risk assessment results.

13

Architecture-based Optimal Software Reliability Allocation under uncertain preferences

Aggarwa A. G., Verma V., Anand S.

Annals of Computer Science and Information Systems

|

2018

|

Vol. 14

3--12

EN

Reliability Allocation in an essential task of the software development process. Increasing complexities in software structure and demand for bug free software has made Reliability Allocation a mandatory task during design and planning phase. So far in the literature several methods and models have been discussed for achieving the reliability target based on user's and developer's point of view. The crucial question that arises is ‘How to allocate reliability for a Software system in an uncertain atmosphere where developer's preferences are subjective in nature?''. In this paper, we have proposed the software reliability allocation problem incorporating the decision maker's subjective uncertain preferences using Ordered Weighted Averaging (OWA) approach based on Fuzzy Analytical Hierarchical Process (FAHP).Parameter determination using FAHP through architectural hierarchy of the software system helps in interaction of user's assessment with the software engineers and programmers outlook. The OWA technique ensures complete use of available information and also avoids any kind of biasedness in reliability allocation due to overestimation of developer's inclinations. The proposed MEMV-OWA (Maximum Entropy Minimum Variance) operator is a bi-objective mathematical programing problem that maximizes entropy (deployment of information) along with minimization of the variance in weighting vector in an uncertain environment. Reliability allocation procedure for software system using the anticipated process has been discussed in detail. Also precise demonstration of the procedure has been done with an application example.

14

An Intuitionistic Approach for Ranking OTA Websites under Multi Criteria Group Decision Making Framework

Aggarwal A. G., Sharma H., Tandon A.

Annals of Computer Science and Information Systems

|

2018

|

Vol. 14

21--27

EN

The transformations from approaches based on crisp set towards fuzzy set were introduced to include the uncertainty experienced in decision making. But the problem of hesitation about any alternative still prevailed among the decision makers. Later, an extension of fuzzy sets, the intuitionistic fuzzy sets, filled the gap between the degree of satisfaction and the degree of dissatisfaction encountered by the decision makers. Also, the biasness noticed while comparing a number of alternatives based on multiple criteria by a single person, necessitated for a multi criteria group decision making (MCGDM) approach. In this paper, we propose a hybrid model that combines the MCGDM techniques of intuitionistic fuzzy analytical hierarch process (IFAHP) and intuitionistic fuzzy multi objective optimization on the basis of ratio analysis (IFMOORA). The IFAHP technique is used to find the criteria weights and IFMOORA technique is used for overall ranking of OTA websites. To validate the proposed model, we apply it to rank online travel agencies (OTA) websites on the basis of a number of success factors. The model developed is flexible and can be further applied to various selection problems.

15

An Innovative B2C E-commerce Websites Selection using the ME-OWA and Fuzzy AHP

Aggarwal A. G., Sharma A.

Annals of Computer Science and Information Systems

|

2018

|

Vol. 14

13--19

EN

Today internet has emerged as a huge marketplace of products and services for meeting needs of more than a million customers worldwide. It provides users a platform to access information globally in electronic form as well as in terms of business transaction, such as,e-payments, e-orders and e-booking etc. The advent of the internet has led to the establishment of electronic commerce. Today a large number of B2C e-commerce websites are available, which makes it difficult not only for the customers to find right product at right price, but also for a company to choose a better site for selling its product. Thus, there is need to rank e-commerce websites in B2C electronic commerce. The objective of this paper is to rank e-commerce websites on the basis of success factors, namely, System Quality, Content Quality, Usages, Trust, Customer Support, Online Customer Feedback and Personalization. Here we have used a two stage approach combining maximum entropy-ordered weighted averaging aggregation (ME-OWA) with fuzzy Analytic Hierarchy Process (FAHP) for choosing the best B2C e-commerce website.

16

An Integrated SVM and Fuzzy AHP Approach for Selecting Third Party Logistics Providers

Chen J., Zhong J.

Przegląd Elektrotechniczny

|

2012

|

R. 88, nr 9b

5-8

EN

The selection of third party logistics (3PL) providers is an important issue for enterprises to outsource their logistics business. In this paper, a new integrated model is put forward for selecting 3PL providers based on support vector machine (SVM) and fuzzy analytic hierarchy process (FAHP). In the first stage, the support vector machine (SVM) is used to classify the primary 3PL provider samples into four types which are excellent, good, medium and bad respectively. Then we can obtain the excellent samples which are the candidates for the second stage selection. In the second stage, the FAHP is used to evaluate the selected excellent samples in the first stage, so we can obtain the sorting results for the excellent samples and the optimal samples. The results of the case study show that the model is reasonable and effective and it can provide an important reference for enterprises to select 3PL providers.

PL

W artykule przedstawiono nowy zintegrowany model umożliwiający przyśpieszenie selekcji dostawcy 3PL (third party logistics). Model wykorzystuje metodę SVM (suport vector machine) i FAHP (fuzzy analytic hierarchy proces).

17

A decision support system using fuzzy analytical hierarchy process (FAHP) and TOPSIS approaches for selection of the optimum underground mining method

Mikaeil R., Naghadehi M. Z., Ataei M., Khalokakaie R.

Archives of Mining Sciences

|

2009

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Vol. 54, no 2

341-368

EN

Selection of an appropriate mining method is a complex task that requires consideration of many technical, economical, political, social, and historical factors. The aim of this paper is developing a hierarchical model to selection the optimum mining method with the use of effective and major criteria and simultaneously, taking subjective judgments of decision makers into consideration. Proposed approach is based on the combination of Fuzzy Analytic Hierarchy Process (FAHP) method with TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) methods. FAHP is used in determining of the weights of the criteria by decision makers and then rankings of the methods are determined by TOPSIS. The proposed method is applied for Jajarm Bauxite Mine in Iran and finally the most appropriate mining methods for this mine are ranked.

PL

Dobór odpowiednich metod wydobycia jest zagadnieniem złożonym i wymaga uwzględnienia szeregu czynników technicznych, ekonomicznych, politycznych, społecznych i historycznych. Celem pracy jest opracowanie modelu hierarchicznego dla doboru optymalnej metody wydobycia w oparciu o kryteria główne, uwzględniając także subiektywne oceny osób podejmujących decyzje. Proponowane podejście wykorzystuje metodę hierarchii procesów z wykorzystaniem procedur rozmytych (FAHP) w połączeniu z metodą TOPSIS, polegającą na określeniu "odległości" od rozwiązania idealnego. Metoda FAHP służy do określania współczynników wagi dla poszczególnych kryteriów decyzyjnych, następnie ranking metod przeprowadzany jest w oparciu o metodę TOPSIS. Proponowana metoda stosowana jest w kopalni Jajarz Bauxite w Iranie, służąc przy doborze odpowiednich metod wydobycia.