Simultaneous interpretive structural modelling and weighting (SISMW)

• Autorzy: Nasrollahi Mahdi , Ramezani Javaneh , Sadraei Mahmoud , Fathi Mohammad Reza

Identyfikatory

DOI

10.37190/ord220106

• Języki publikacji: EN

Abstrakty

EN

Multi-criteria decision-making (MCDM) methods have been implemented in many fields. In the meantime, several methods have been proposed to obtain the weight of the criteria determined by various methods in different ways. In this paper, a new approach, called simultaneous interpretive structural modelling and weighting (SISMW), is proposed to solve a multi-criterion decision-making (MCDM) problem. Using SISMW, the weight of the criteria and the relationship between them could be determined simultaneously. In this approach, like the ISM method, pair comparison between criteria was made by the decision-maker to determine the relationships among the different criteria. With the help of this data, the weight of the criteria, as well as the causal (cause and effect) relationships between them, were determined in 12 steps. The main advantage of this method is that only one stage of data collection is required for obtaining weights and modelling, and so the research process may be faster. This may increase the reliability of the collected data because, in a one-step survey, the impact of time is minimized. This process can be useful for conceptualizing and developing theories to help decisionmakers understand the problem better.

Słowa kluczowe

EN

SISMW; MCDM; criteria; modelling; weighting

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Operations Research and Decisions
• Rocznik: 2022
• Tom: Vol. 32, No. 1
• Strony: 111--126
• Opis fizyczny: Bibliogr. 28 poz., rys.

Twórcy

autor

Nasrollahi Mahdi

• Faculty of Social Sciences, Imam Khomeini International University (IKIU), Qazvin 34149-16818, Iran

autor

Ramezani Javaneh

• Faculty of Sciences and Technology, Campus da Caparica, NOVA University of Lisbon, 2829-516 Caparica, Portugal

autor

Sadraei Mahmoud

• OPTUS, Macquarie Park, NSW, Sydney, Australia

autor

Fathi Mohammad Reza

• Department of Management and Accounting, College of Farabi, University of Tehran, P.O. Box 3718117469, Qom, Iran

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).