2016
DOI: 10.1016/j.proeng.2016.06.587
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Technique for Order Performance by Similarity to Ideal Solution (TOPSIS)-entropy Methodology for Inherent Safety Design Decision Making Tool

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Cited by 30 publications
(25 citation statements)
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“…During the last decade, a large number of MCDM methodologies have been proposed under different hypotheses. Some examples include the preference ranking organization method for enrichment of evaluations (the PROMETHEE methodology [24]) developed by Brans et al [25]; the ELimination and Choice Expressing Reality (ELimination Et Choix Traduisant la REalité -ELECTRE) from the French school [26]; the Analytic Hierarchy Process (AHP) and the Analytic Network Process (ANP) both of which were proposed by Tomas Saaty [27]; and the technique for order performance by similarity to ideal solution (TOPSIS) developed by Hwang and Yoon [28]. Several studies based on an individual or combined application of MCDM techniques have been carried out in the field of groundwater management.…”
Section: Introductionmentioning
confidence: 99%
“…During the last decade, a large number of MCDM methodologies have been proposed under different hypotheses. Some examples include the preference ranking organization method for enrichment of evaluations (the PROMETHEE methodology [24]) developed by Brans et al [25]; the ELimination and Choice Expressing Reality (ELimination Et Choix Traduisant la REalité -ELECTRE) from the French school [26]; the Analytic Hierarchy Process (AHP) and the Analytic Network Process (ANP) both of which were proposed by Tomas Saaty [27]; and the technique for order performance by similarity to ideal solution (TOPSIS) developed by Hwang and Yoon [28]. Several studies based on an individual or combined application of MCDM techniques have been carried out in the field of groundwater management.…”
Section: Introductionmentioning
confidence: 99%
“…TOPSIS is one of the wellknown MCDM approaches (Ouyang et al 2014), which was first developed by Hwang and Yoon in 1981. Today, TOPSIS has been applied as a decision-making tool for different areas (Abidin et al 2016). TOPSIS is suitable for cases with many attributes and alternatives, as well as being handy for objectives with quantitative data (Sayareh and Alizmini 2014).…”
Section: Methodsmentioning
confidence: 99%
“…It simultaneously copes with multiple measuring metrics for benchmarking the possible alternatives while avoiding the typical rank-conflicting problem through its relative "proximity to the ideal" function (Wang et al 2017). It has numerous advantages; it is adequate for the use of raw data information, and there are no strict restrictions on the number of indicators, it is practical (Long et al 2019), it logically represents the rational human choice by considering both the best and worst attributes of the alternatives simultaneously, and the computation and the presentation of the results are simple (Abidin et al 2016).…”
Section: Introductionmentioning
confidence: 99%
“…Some of these works ( Yari & Chaji, 2012) studied Entropy method to select operator. (Abidin, Rusli, & Shariff, 2016) designed an internal security system based on an integrated Entropy-TOPSIS method.(L. Li, Liu, & Li, 2014)proposed a customer satisfaction method using Entropy and AHP methods.…”
Section: Entropy Weight Methodsmentioning
confidence: 99%