Open Access

ARTICLE

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 Pamucar^3,4,*, Vladimir Simic^5,6, Hasan Dinçer^7,8, Serhat Yüksel^7,8

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:

(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

Received 23 February 2024; Accepted 16 May 2024; Issue published 08 July 2024

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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Keywords

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