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• W4229440115 endingPage "108138" @default.
• W4229440115 startingPage "108138" @default.
• W4229440115 abstract "In Multi-Criteria Decision Making (MCDM), alternatives are evaluated by considering different criteria. In MCDM, there is a requirement to integrate the objective and subjective weights, since the objective weighting methods ignore the decision-maker’s (DM’s) experiences and the subjective weighting methods ignore the performance ratings of the alternatives with respect to different criteria. To integrate the two types of weights and evaluate the best alternative, three well-established methods, namely “CRiteria Importance Through Intercriteria Correlation (CRITIC)”, “Best Worst Method (BWM)”, and “LINear programming techniques for Multidimensional Analysis of Preferences (LINMAP)” are considered in our study. Based on these methods, we have proposed a new method, namely “Objective-Subjective Weighted method for Minimizing Inconsistency (OSWMI)” which considers both pairwise comparisons of the criteria and alternatives along with their corresponding performance ratings. We have first improved both the methods, CRITIC (named as improved CRITIC) and LINMAP (named as LINMAP II). Finally, the proposed OSWMI method is developed by integrating the improved CRITIC method, BWM, and LINMAP II using a multi-objective non-linear programming (MONLP) model. The OSWMI method may reduce the problem of strategic weight manipulation, since the integrated weights and the two ideal solutions are priori unknown and obtained simultaneously for selecting the best alternative. A case study of the web service selection is used to demonstrate the implementation of the OSWMI method. From the analysis, the proposed OSWMI method reveals a promising result. Further, sensitivity of the OSWMI method is checked by using the standard regression coefficients obtained by multiple linear regression." @default.
• W4229440115 created "2022-05-11" @default.
• W4229440115 creator A5027370662 @default.
• W4229440115 creator A5045115218 @default.
• W4229440115 creator A5086273215 @default.
• W4229440115 date "2022-07-01" @default.
• W4229440115 modified "2023-10-02" @default.
• W4229440115 title "OSWMI: An objective-subjective weighted method for minimizing inconsistency in multi-criteria decision making" @default.
• W4229440115 cites W120094446 @default.
• W4229440115 cites W1707372784 @default.
• W4229440115 cites W1869045751 @default.
• W4229440115 cites W1876423782 @default.
• W4229440115 cites W1952412173 @default.
• W4229440115 cites W1967243514 @default.
• W4229440115 cites W1984986877 @default.
• W4229440115 cites W1986181470 @default.
• W4229440115 cites W1995875735 @default.
• W4229440115 cites W1996921169 @default.
• W4229440115 cites W1998162620 @default.
• W4229440115 cites W2004904307 @default.
• W4229440115 cites W2012908264 @default.
• W4229440115 cites W2015795623 @default.
• W4229440115 cites W2020407132 @default.
• W4229440115 cites W2024389601 @default.
• W4229440115 cites W2033401964 @default.
• W4229440115 cites W2033746600 @default.
• W4229440115 cites W2036014629 @default.
• W4229440115 cites W2039346564 @default.
• W4229440115 cites W2039452213 @default.
• W4229440115 cites W2040889326 @default.
• W4229440115 cites W2053190248 @default.
• W4229440115 cites W2065258344 @default.
• W4229440115 cites W2066495914 @default.
• W4229440115 cites W2080840322 @default.
• W4229440115 cites W2082319470 @default.
• W4229440115 cites W2085556122 @default.
• W4229440115 cites W2085806531 @default.
• W4229440115 cites W2088547897 @default.
• W4229440115 cites W2106135161 @default.
• W4229440115 cites W2110373411 @default.
• W4229440115 cites W2111538767 @default.
• W4229440115 cites W2113650128 @default.
• W4229440115 cites W2118319424 @default.
• W4229440115 cites W2128578352 @default.
• W4229440115 cites W213552427 @default.
• W4229440115 cites W2170866269 @default.
• W4229440115 cites W2173979819 @default.
• W4229440115 cites W2189718286 @default.
• W4229440115 cites W2259660946 @default.
• W4229440115 cites W2336163115 @default.
• W4229440115 cites W2466643062 @default.
• W4229440115 cites W2506768821 @default.
• W4229440115 cites W2585206336 @default.
• W4229440115 cites W2595118259 @default.
• W4229440115 cites W2734452893 @default.
• W4229440115 cites W2762965914 @default.
• W4229440115 cites W2765335239 @default.
• W4229440115 cites W2771436618 @default.
• W4229440115 cites W2801731754 @default.
• W4229440115 cites W2886961038 @default.
• W4229440115 cites W2900786313 @default.
• W4229440115 cites W2917671665 @default.
• W4229440115 cites W2924105826 @default.
• W4229440115 cites W2944852963 @default.
• W4229440115 cites W2959247396 @default.
• W4229440115 cites W2964669875 @default.
• W4229440115 cites W2986716731 @default.
• W4229440115 cites W2996532790 @default.
• W4229440115 cites W3000207634 @default.
• W4229440115 cites W3005902236 @default.
• W4229440115 cites W3013738389 @default.
• W4229440115 cites W3015210990 @default.
• W4229440115 cites W3022049958 @default.
• W4229440115 cites W3023687927 @default.
• W4229440115 cites W3034664040 @default.
• W4229440115 cites W3035529042 @default.
• W4229440115 cites W3043329660 @default.
• W4229440115 cites W3092510319 @default.
• W4229440115 cites W3095645783 @default.
• W4229440115 cites W3110544309 @default.
• W4229440115 cites W3113287032 @default.
• W4229440115 cites W3119100685 @default.
• W4229440115 cites W3128920237 @default.
• W4229440115 cites W3130541645 @default.
• W4229440115 cites W3131479975 @default.
• W4229440115 cites W3131879704 @default.
• W4229440115 cites W3139257894 @default.
• W4229440115 cites W3153112857 @default.
• W4229440115 cites W3155299247 @default.
• W4229440115 cites W3203526853 @default.
• W4229440115 cites W34075374 @default.
• W4229440115 cites W609503659 @default.
• W4229440115 doi "https://doi.org/10.1016/j.cie.2022.108138" @default.
• W4229440115 hasPublicationYear "2022" @default.
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