Multicriteria Optimization - Pareto-Optimality and Threshold-Optimality 2020
DOI: 10.5772/intechopen.92541
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On the Practical Consideration of Evaluators’ Credibility in Evaluating Relative Importance of Criteria for Some Real-Life Multicriteria Problems: An Overview

Abstract: A multicriteria (MC) problem usually consists of a set of predetermined alternatives or subjects to be analyzed, which is prescribed under a finite number of criteria. MC problems are found in various applications to solve various area problems. There are three goals in solving the problems: ranking, sorting or grouping the alternatives according to their overall scores. Most of MC methods require the criteria weights to be combined mathematically with the quality of the criteria in finding the overall score o… Show more

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Cited by 3 publications
(5 citation statements)
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“…optimization methods [18,19] were used to find the optimal control parameters. (Rmk(t), δk(t)), presented in Fig.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…optimization methods [18,19] were used to find the optimal control parameters. (Rmk(t), δk(t)), presented in Fig.…”
Section: Resultsmentioning
confidence: 99%
“…The optimization procedure [19] of input control parameters allows obtaining the optimal vector of the input influence (Rm_opt(t), δ_opt(t)) at each step.…”
Section: Resultsmentioning
confidence: 99%
“…Since this study considers data for 16 states and federal territories in Malaysia, the 16 decision matrices for all the areas were analysed. tropy method (Kasim, 2020). Weaver (1949) to represent messages in e entropy concept as a proxy measure of echniques are available, including those n and He (1997), and Desa et al (2015).…”
Section: Methodology Study Area and Data Collectionmentioning
confidence: 99%
“…This study aims to construct a new API by considering the different hazardous levels that the six pollutants could bring to humans. Since subjective and objective approaches (Ma et al, 1999;Kasim, 2020) are available to weigh the hazardous levels, this article proposes the use of aggregated weights that are determined via the aggregation of subjective and objective weights (Desa et al, 2015) of the air pollutants. The resulting weights are argued to be optimal since both approaches complement each other's weaknesses.…”
Section: Historically Doem Issuementioning
confidence: 99%
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