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Modeling subjective evaluation for fuzzy group multicriteria decision making

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  • Yeh, Chung-Hsing
  • Chang, Yu-Hern

Abstract

This paper presents a new fuzzy multicriteria decision making (MCDM) approach for evaluating decision alternatives involving subjective judgements made by a group of decision makers. A pairwise comparison process is used to help individual decision makers make comparative judgements, and a linguistic rating method is used for making absolute judgements. A hierarchical weighting method is developed to assess the weights of a large number of evaluation criteria by pairwise comparisons. To reflect the inherent imprecision of subjective judgements, individual assessments are aggregated as a group assessment using triangular fuzzy numbers. To obtain a cardinal preference value for each decision alternative, a new fuzzy MCDM algorithm is developed by extending the concept of the degree of optimality to incorporate criteria weights in the distance measurement. An empirical study of aircraft selection is presented to illustrate the effectiveness of the approach.

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  • Yeh, Chung-Hsing & Chang, Yu-Hern, 2009. "Modeling subjective evaluation for fuzzy group multicriteria decision making," European Journal of Operational Research, Elsevier, vol. 194(2), pages 464-473, April.
  • Handle: RePEc:eee:ejores:v:194:y:2009:i:2:p:464-473
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    Cited by:

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    3. S. Meysam Mousavi & Fariborz Jolai & Reza Tavakkoli-Moghaddam, 2013. "A Fuzzy Stochastic Multi-Attribute Group Decision-Making Approach for Selection Problems," Group Decision and Negotiation, Springer, vol. 22(2), pages 207-233, March.
    4. Bottomley, Paul A. & Doyle, John R., 2013. "Comparing the validity of numerical judgements elicited by direct rating and point allocation: Insights from objectively verifiable perceptual tasks," European Journal of Operational Research, Elsevier, vol. 228(1), pages 148-157.
    5. Ye, Jun, 2010. "Fuzzy decision-making method based on the weighted correlation coefficient under intuitionistic fuzzy environment," European Journal of Operational Research, Elsevier, vol. 205(1), pages 202-204, August.
    6. Gao, Fei & Wang, Weixiang & Bi, Chencan & Bi, Wenhao & Zhang, An, 2023. "Prioritization of used aircraft acquisition criteria: A fuzzy best–worst method (BWM)-based approach," Journal of Air Transport Management, Elsevier, vol. 107(C).
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    8. Ahmad Alshamrani & Dipanjana Sengupta & Amrit Das & Uttam Kumar Bera & Ibrahim M. Hezam & Moddassir Khan Nayeem & Faisal Aqlan, 2023. "Optimal Design of an Eco-Friendly Transportation Network under Uncertain Parameters," Sustainability, MDPI, vol. 15(6), pages 1-26, March.
    9. Majid Zerafat Angiz Langroudi & Ali Emrouznejad & Adli Mustafa & Joshua Ignatius, 2013. "Type-2 TOPSIS: A Group Decision Problem When Ideal Values are not Extreme Endpoints," Group Decision and Negotiation, Springer, vol. 22(5), pages 851-866, September.
    10. Dožić, Slavica & Lutovac, Tatjana & Kalić, Milica, 2018. "Fuzzy AHP approach to passenger aircraft type selection," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 165-175.
    11. T. Hlásny & Z. Sitková & I. Barka, 2013. "Regional assessment of forest effect on watershed hydrology: Slovakia as a case study," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 59(10), pages 405-415.
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