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An Integrated Bipolar Picture Fuzzy Decision Driven System to Scrutinize Food Waste Treatment Technology through Assorted Factor Analysis

Navaneethakrishnan Suganthi Keerthana Devi1, Samayan Narayanamoorthy1, Thirumalai Nallasivan Parthasarathy1, Chakkarapani Sumathi Thilagasree2, Dragan Pamucar3,4,*, Vladimir Simic5,6, Hasan Dinçer7,8, Serhat Yüksel7,8

1 Department of Mathematics, Bharathiar University, Coimbatore, 641046, India
2 Department of Mathematics, Sri Ramakrishna Mission Vidyalaya College of Arts and Science, Coimbatore, 641020, India
3 Department of Operations Research and Statistics, Faculty of Organizational Sciences, University of Belgrade, Belgrade, 11000, Serbia
4 College of Engineering, Department of Industrial Engineering and Management, Yuan Ze University, Taoyuan City, 320315, Taiwan
5 Faculty of Transport and Traffic Engineering, University of Belgrade, Vojvode Stepe 305, Belgrade, 11000, Serbia
6 Department of Computer Science and Engineering, College of Informatics, Korea University, Seoul, 02841, Republic of Korea
7 School of Business, Istanbul Medipol University, Istanbul, 34083, Turkey
8 Department of Economics and Management, Khazar University, Baku, Azerbaijan

* Corresponding Author: Dragan Pamucar. Email: email

(This article belongs to the Special Issue: Control Systems and Machine Learning for Intelligent Computing)

Computer Modeling in Engineering & Sciences 2024, 140(3), 2665-2687. https://doi.org/10.32604/cmes.2024.050954

Abstract

Food Waste (FW) is a pressing environmental concern that affects every country globally. About one-third of the food that is produced ends up as waste, contributing to the carbon footprint. Hence, the FW must be properly treated to reduce environmental pollution. This study evaluates a few available Food Waste Treatment (FWT) technologies, such as anaerobic digestion, composting, landfill, and incineration, which are widely used. A Bipolar Picture Fuzzy Set (BPFS) is proposed to deal with the ambiguity and uncertainty that arise when converting a real-world problem to a mathematical model. A novel Criteria Importance Through Intercriteria Correlation-Stable Preference Ordering Towards Ideal Solution (CRITIC-SPOTIS) approach is developed to objectively analyze FWT selection based on thirteen criteria covering the industry’s technical, environmental, and entrepreneurial aspects. The CRITIC method is used for the objective analysis of the importance of each criterion in FWT selection. The SPOTIS method is adopted to rank the alternative hassle-free, following the criteria. The proposed model offers a rank reversal-free model, i.e., the rank of the alternatives remains unaffected even after the addition or removal of an alternative. In addition, comparative and sensitivity analyses are performed to ensure the reliability and robustness of the proposed model and to validate the proposed result.

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APA Style
Devi, N.S.K., Narayanamoorthy, S., Parthasarathy, T.N., Thilagasree, C.S., Pamucar, D. et al. (2024). An integrated bipolar picture fuzzy decision driven system to scrutinize food waste treatment technology through assorted factor analysis. Computer Modeling in Engineering & Sciences, 140(3), 2665-2687. https://doi.org/10.32604/cmes.2024.050954
Vancouver Style
Devi NSK, Narayanamoorthy S, Parthasarathy TN, Thilagasree CS, Pamucar D, Simic V, et al. An integrated bipolar picture fuzzy decision driven system to scrutinize food waste treatment technology through assorted factor analysis. Comput Model Eng Sci. 2024;140(3):2665-2687 https://doi.org/10.32604/cmes.2024.050954
IEEE Style
N.S.K. Devi et al., "An Integrated Bipolar Picture Fuzzy Decision Driven System to Scrutinize Food Waste Treatment Technology through Assorted Factor Analysis," Comput. Model. Eng. Sci., vol. 140, no. 3, pp. 2665-2687. 2024. https://doi.org/10.32604/cmes.2024.050954



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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