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A Comparative Study of Fuzzy Linear and Multi-Objective Optimization

A Comparative Study of Fuzzy Linear and Multi-Objective Optimization

Pinki Gulia, Rakesh Kumar, Amandeep Kaur, Gaurav Dhiman
Copyright: © 2022 |Pages: 20
ISBN13: 9781668444054|ISBN10: 1668444054|ISBN13 Softcover: 9781668444061|EISBN13: 9781668444078
DOI: 10.4018/978-1-6684-4405-4.ch007
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MLA

Gulia, Pinki, et al. "A Comparative Study of Fuzzy Linear and Multi-Objective Optimization." AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management, edited by Sandeep Kumar Kautish and Gaurav Dhiman, IGI Global, 2022, pp. 117-136. https://doi.org/10.4018/978-1-6684-4405-4.ch007

APA

Gulia, P., Kumar, R., Kaur, A., & Dhiman, G. (2022). A Comparative Study of Fuzzy Linear and Multi-Objective Optimization. In S. Kautish & G. Dhiman (Eds.), AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management (pp. 117-136). IGI Global. https://doi.org/10.4018/978-1-6684-4405-4.ch007

Chicago

Gulia, Pinki, et al. "A Comparative Study of Fuzzy Linear and Multi-Objective Optimization." In AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management, edited by Sandeep Kumar Kautish and Gaurav Dhiman, 117-136. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-6684-4405-4.ch007

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Abstract

A new paradigm for the solution of problems involving single- and multi-objective fuzzy linear programming is presented in this chapter. As opposed to complex arithmetic and logic for intervals, the method offered uses basic fuzzy mathematical operations for fuzzy integers instead. Using fuzzy numbers to express variables and parameters in a fuzzy linear programming issue (FLPP) is common. However, the authors only talked about FLPP with fuzzy parameters here. Triangular fuzzy numbers are used as fuzzy parameters. Ranking functions are used to convert fuzzy problems into clear ones. Crisp optimization techniques have been used. The proposed solution is tested on a variety of real-world examples that address both of these concerns.

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