Robust neutrosophic programming approach for solving intuitionistic fuzzy multiobjective optimization problems

This study presents the modeling of the multiobjective optimization problem in an intuitionistic fuzzy environment. The uncertain parameters are depicted as intuitionistic fuzzy numbers, and the crisp version is obtained using the ranking function method. Also, we have developed a novel interactive...

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Bibliographic Details
Published in:Complex & intelligent systems Vol. 7; no. 4; pp. 1935 - 1954
Main Author: Ahmad, Firoz
Format: Journal Article
Language:English
Published: Cham Springer International Publishing 01.08.2021
Springer Nature B.V
Subjects:
Cloud computing
Complexity
Computational Intelligence
Data Structures and Information Theory
Engineering
Fuzzy logic
Fuzzy sets
Multiple objective analysis
Optimization
Original Article
Parameter uncertainty
Robustness (mathematics)
Robust neutrosophic programming approach
Intuitionistic fuzzy parameters
Cloud computing pricing problem
Multiobjective optimization problem
ISSN:2199-4536, 2198-6053
Online Access:Get full text
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Summary:This study presents the modeling of the multiobjective optimization problem in an intuitionistic fuzzy environment. The uncertain parameters are depicted as intuitionistic fuzzy numbers, and the crisp version is obtained using the ranking function method. Also, we have developed a novel interactive neutrosophic programming approach to solve multiobjective optimization problems. The proposed method involves neutral thoughts while making decisions. Furthermore, various sorts of membership functions are also depicted for the marginal evaluation of each objective simultaneously. The different numerical examples are presented to show the performances of the proposed solution approach. A case study of the cloud computing pricing problem is also addressed to reveal the real-life applications. The practical implication of the current study is also discussed efficiently. Finally, conclusions and future research scope are suggested based on the proposed work.
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ISSN:2199-4536
2198-6053
DOI:10.1007/s40747-021-00299-9