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View all- Intelligence and Neuroscience C(2023)RetractedComputational Intelligence and Neuroscience10.1155/2023/97617122023Online publication date: 1-Jan-2023
Development of an Appropriate Uncertainty Model with an Application to Solid Waste Management Planning
Authors: 
Abd Elazeem M. Abd Elazeem, Hamiden Abd El-Wahed Khalifa, Dragan Pamucar, Amina Hadj Kacem, W. A. Afifi Academic Editor: Dalin ZhangAuthors Info & Claims
Abstract
The purpose of this study is to achieve a novel and efficient method for treating the interval coefficient linear programming (ICLP) problems. The problem is used for modeling an uncertain environment that represents most real-life problems. Moreover, the optimal solution of the model represents a decision under uncertainty that has a risk of selecting the correct optimal solution that satisfies the optimality and the feasibility conditions. Therefore, a proposed algorithm is suggested for treating the ICLP problems depending on novel measures such as the optimality ratio, feasibility ratio, and the normalized risk factor. Depending upon these measures and the concept of possible scenarios, a novel and effective analysis of the problem is done. Unlike other algorithms, the proposed algorithm involves an important role for the decision-maker (DM) in defining a satisfied optimal solution by using a utility function and other required parameters. Numerical examples are used for comparing and illustrating the robustness of the proposed algorithm. Finally, applying the algorithm to treat a Solid Waste Management Planning is introduced.
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Copyright © 2022 Abd Elazeem M. Abd Elazeem et al.
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Published: 01 January 2022
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View all- Intelligence and Neuroscience C(2023)RetractedComputational Intelligence and Neuroscience10.1155/2023/97617122023Online publication date: 1-Jan-2023