A Healthcare Assessment for Recycling Hazardous Waste by a New Intuitionistic Fuzzy Decision Method Based On an Assembled Proportionate Evaluation Approach

Document Type : Research Paper


1 Department of Industrial Engineering, Shahed University, Tehran, Iran.

2 Department of Industrial Engineering, Shahed University, Tehran, Iran


Nowadays, the proper safety and health assessment in hazardous waste recycling organizations has become an encouraging subject, mainly in developing countries. 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. 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.


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