A healthcare assessment for recycling hazardous waste by a new intuitionistic fuzzy decision method based on an assembled proportionate evaluation approach

S. Salimain | Seyed Meysam Mousavi

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URL :   http://research.shahed.ac.ir/WSR/WebPages/Report/PaperView.aspx?PaperID=159248
Date :  2021/08/25
Publish in :    مهندسي صنايع= Advances in Industrial Engineering - نشريه دانشکده فني سابق

Link :  https://journals.ut.ac.ir/article_84998.html
Keywords :Healthcare waste recycling management, Hazardous waste management, intuitionistic fuzzy sets, multi-criteria decision-making approach, Ranking method

Abstract :

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An assessment of hazardous waste recycling (HWR) facility choice can be introduced as a complex multi-criteria decision-making (MCDM) problem that contains many alternatives solutions with incompatible tangible and intangible indexes. This paper proposes a new decision method based on MCDM approach under intuitionistic fuzzy (IF) environment. Intuitionistic fuzzy set (IFS) is a well-organized theory to demonstrate information in the form of membership degrees not only in qualitative concepts but also in quantitative characters when this theory utilizes linguistic terms. The IFS theory represents the degrees of membership and non-membership that aids to specify the problem in real-world conditions. The proposed approach is separated from association operators of IFSs; Furthermore, a few modifications in the common complex proportional evaluation method and a procedure for obtaining indexes of weights are introduced. This paper is constructed based on the entropy method to compute weights of criteria, the similarity measure to obtain the decision-makers (DMs)’ weights under IF conditions. Afterward, a new ranking method is introduced based on a new similarity ideal solution method. The major advantage of the suggested new ranking approach is to achieve the best alternatives compared to DMs’ decisions as well as the effects of evaluation values. Hence, the proposed model is a more generalized and proper demonstration to take the real-life fuzziness than the previous studies carefully. Recently, increasing challenges for environmental subjects needs the assessment of HWR facility selection concerning various indexes; so, the feasible problem is given based on a real case study of HWR facility selection, which proves the validity and feasibility of the proposed method. Eventually, a comparative analysis is presented to verify the performance of the proposed method by comparing with IF- CODAS approach and computing different degree measure. Moreover, sensitivity analysis is introduced to validate and assess the performance of new extended decision approach.