Exploring entropy weighted topsis and bharat approach for multi-criteria decision-making problem

Ghalme, Sachin; Fedai, Yusuf; Thorat, Sandeep

doi:10.22061/jcarme.2026.11116.2464

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	Exploring entropy weighted topsis and bharat approach for multi-criteria decision-making problem
Journal of Computational & Applied Research in Mechanical Engineering (JCARME)
مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 06 اسفند 1404 اصل مقاله (1.24 M)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22061/jcarme.2026.11116.2464
نویسندگان
Sachin Ghalme^* ¹؛ Yusuf Fedai²؛ Sandeep Thorat³
¹Department of Mechanical Engineering, Sandip Institute of Technology and Research Centre, Nashik (MS), India
²Department of Industrial Engineering, Faculty of Engineering, Osmaniye Korkut Ata University, Turkey
³Department of Mechanical Engineering, MIT School of Engineering, MIT Art, Design and Technology University, Loni Kalbhor Pune (MS), India
تاریخ دریافت: 08 مرداد 1403، تاریخ بازنگری: 02 اسفند 1404، تاریخ پذیرش: 06 اسفند 1404
چکیده
Computational models/methods are regularly used by the engineering community to evaluate the optimal set of solutions with respect to the defined performance criteria. In the case of multi-objective optimization problems, the set of Pareto front or optimal solutions needs to be evaluated with a simple and effective search methodology to help the decision maker select the best parameters/factors. In this study an attempt has been made to optimize the content of MWCNTs, cutting speed, and feed rate to minimize delamination factor and thrust force during drilling of MWCNTs reinforced GFRP nano-composite. Entropy-weighted TOPSIS and BHARAT approaches are implemented successfully for evaluating optimal parameters. Experimental result analysis suggests that feed rate being the major contributing factor for affecting delamination factor and thrust force. The optimized levels for MWCNTs, cutting speed and feed rate are 3 (1%), 3 (75 mm/min), and 1 (0.1 mm/rev), respectively, as obtained by both methods. Comparative analysis of entropy-weighted TOPSIS and BHARAT approach has been performed in relation to multi-criteria decision-making problems. The evaluated Pearson's and Spearman's correlation coefficient for both methods are 0.98, suggesting a high correlation between both methods.
کلیدواژه‌ها
Multi-criteria decision making؛ Entropy weighted TOPSIS؛ BHARAT؛ MWCNTs reinforced GFRP nano-composite؛ Machining of Nano-GFRP composite

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Exploring entropy weighted topsis and bharat approach for multi-criteria decision-making problem