Wyniki wyszukiwania - BazTech

1

Sustainability assessment of different nanoparticle for heat exchanger applications: an intuitionistic fuzzy combinative distance-based assessment method

Kumar Sunil, Gautam Sandeep Kumar, Kumar Ankush, Maithan Rajesh, Kumar Anil

Acta Innovations

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2021

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no. 40

44--63

EN

The rate at which the conventional energy sources are depleting is a matter of concern, and there have been major attention on this to make the thermal systems environment friendly, efficient, economic, sustainable, technically reliable. Sustainability of five different types of nanoparticles (Ceramic, carbon based, metal based, polymeric, and lipid based) from the perspective of four aspects involving cost, efficiency, technicality and environmental effect, in heat exchangers has been assessed. The analysis is carried out using the intuitionistic fuzzy combative distance based assessment (IFCODAS) method. In order to measure the sustainability of nanoparticles, a set of eleven evaluating criteria have been accredited on the basis of expert opinions and focus group meetings. By amalgamating the intuitionistic fuzzy set (IFS) theory as well as the use of distance-based assessment (CODAS) method, the IFCODASIFCODAS method has permitted the decision-makers to rate the alternative five nanoparticles pertaining to each criterion. On the basis of the results obtained from IFCODAS method, it is observed that the carbon based nanoparticles have an immense potential to provide significantly reliable and sustainable thermal system than other nanoparticles.

2

Subjective risk estimation of the rare event

Nguyen Hoang

Journal of KONES

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2019

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Vol. 26, No. 1

103--110

EN

In the safety engineering, the most frequently disadvantage in risk estimation is the lack of data. In such cases, we have to rely on subjective estimations made by persons with practical knowledge in the field of interest, i.e. experts. However, in some realistic situations, they may have uncertainty in the perceiving and evaluation of the problem considered or limited knowledge of the rare events, such as the consequences of the seagoing ship propulsion failures. The probabilistic models of the risk estimation turn out to be insufficient in modelling the subjective uncertainty. The fuzzy methods are viewed to be powerful in dealing with ambiguity and uncertainty that can be used to handle with the subjective estimation. This article addresses the intuitionistic fuzzy method in the subjective estimation of the ship propulsion failure consequences as rare event risk. In the article, a subjective model of the ship propulsion risk is developed as scenarios of the different subsequent consequences of loss of ship propulsion function until a seriously severe accident resulting in loss of seaworthiness. The model proposes an approach combining AHP method and intuitionistic fuzzy method to assess the occurrence probability and severe probability of these rare events based on the expert opinions. In order to show the applicability of the proposed model, a study case of the propulsion risk of the container carrier operating on the North Atlantic lines is conducted.

3

Fuzzy methods in risk estimation of the ship system failures based on the expert judgments

Hoang N.

Journal of KONBiN

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2017

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No. 43

393--403

EN

The paper presents the fuzzy methods in failure modes and effects analysis (FMEA) for estimating the risk of the ship system failures based on the expert judgments. It provides an appropriate representation of the uncertain and ambiguous notions expressed in the natural language. An example of fuzzy intuitionistic FMEA analysis is illustrated in estimating the risk of tanker system failures. The results show that the proposed method in comparison with the traditional FMEA is more effective and useful in estimating the risk of ship system failures based on the expert opinions, available in such cases.

PL

Praca przedstawia rozmyte metody w analizy rodzajów i skutków uszkodzeń (FMEA) do estymacji ryzyka uszkodzeń systemów okrętowych. Zapewnia ona odpowiednią reprezentację niepewnych i niejasnych pojęć wyrażonych w języku naturalnym. Przykład zastosowania rozmytej, intuicjonistycznej analizy FMEA został zilustrowany w estymacji ryzyka uszkodzeń systemów tankowca. Uzyskane wyniki wskazują, że proponowana metoda w porównaniu z tradycyjną analizą FMEA, jest bardziej skuteczna w estymacji ryzyka uszkodzeń systemów okrętowych, na podstawie opinii ekspertów.

4

Segmentation of brain MR images using rough set based intuitionistic fuzzy clustering

Dubey Y. K., Mushrif M. M., Mitra K.

Biocybernetics and Biomedical Engineering

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2016

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Vol. 36, no. 2

413--426

EN

Intuitionistic fuzzy sets and rough sets are widely used for medical image segmentation, and recently combined together to deal with uncertainty and vagueness in medical images. In this paper, a rough set based intuitionistic fuzzy c-means (RIFCM) clustering algorithm is proposed for segmentation of the magnetic resonance (MR) brain images. Firstly, we proposed a new automated method to determine the initial values of cluster centroid using intuitionistic fuzzy roughness measure, obtained by considering intuitionistic fuzzy histon as upper approximation of rough set and fuzzy histogram as lower approximation of rough set. A new intuitionistic fuzzy complement function is proposed for intuitionistic fuzzy image representation to take into account intensity inhomogeneity and noise in brain MR images. The results of segmentation of proposed algorithm are compared with the existing rough set based fuzzy clustering algorithms, intuitionistic fuzzy clustering and bias corrected fuzzy clustering algorithm. Experimental results demonstrate the superiority of proposed algorithm.

5

On intuitionistic fuzzy ideals in Γ - rings

Palaniappan N., Veerappan P. S., Ramachandran M.

Journal of Mathematics and Applications

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2010

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Vol. 33

91-101

EN

In this paper, we study some properties of intuitionistic fuzzy ideals of a Γ - ring and prove some results on these.