A novel hybrid MCDM model combining the SAW, TOPSIS and GRA methods based on experimental design

Wang, Peng; Zhu, Zhouquan; Wang, Yonghu

doi:10.1016/j.ins.2016.01.076

Cited by 249 publications

(130 citation statements)

References 34 publications

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“…According to Wang et al (2016) TOPSIS is one of the well-known classical multiple criteria decision making methods, which was originally developed by Hwang and Yoon in 1981, with further development by Chen and Hwang in 1992. The TOPSIS method introduces two reference points; a positive ideal solution and negative ideal solution.…”

Section: Techniques For Order Preferences By Similarity To Ideal Solumentioning

confidence: 99%

Optimization of process parameters through GRA, TOPSIS and RSA models

Nipanikar¹,

Sargade²,

Guttedar³

2018

10.5267/j.ijiec

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Section: Techniques For Order Preferences By Similarity To Ideal Solumentioning

confidence: 99%

Optimization of process parameters through GRA, TOPSIS and RSA models

Nipanikar¹,

Sargade²,

Guttedar³

2018

10.5267/j.ijiec

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show abstract

“…According to Chen, this transformation required eight conversion scales, as shown in Figure 1a-h. These conversion scales were presented in the synthesis and modification of Baas (1977), Bonissone (1982), Chen (1988), Efstathiou (1979Efstathiou ( , 1982, Kerre (1982) and Wenstop (1976) [30][31][32][33][34][35][36] and applied widely by , Xue (2016), Mardani (2016), and Karsak (2015) [37][38][39][40]. In general, the scale given in the graph is sufficient to cover all the representations of each feature, "high" and "low".…”

Section: Uncertainties Of Evaluationmentioning

confidence: 99%

Evaluation of Groundwater Remediation Technologies Based on Fuzzy Multi-Criteria Decision Analysis Approaches

Wang

Cai

Tan

et al. 2017

Water

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Petroleum is an essential resource for the development of society and its production is huge. There is a great risk of leakage of oil during production, refining, and transportation. After entering the environment, the oil pollutants will be a great threat to the environment and may endanger human health. Therefore, it is very important to remediate oil pollution in the subsurface. However, it is necessary to choose the appropriate remediation technology. In this paper, 18 technologies are evaluated through constructing a parameter matrix with each technology and seven performance indicators, and a comprehensive analysis model is presented. In this model, four MCDA methods are used. They are SWA (Simple Weighted Addition Method), WP (Weighted Product Method), CGT (Cooperative Game Theory), and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). Mean ranking and Borda ranking methods are used to integrate the results of SWA, WP, CGT, and TOPSIS. Then two selection priorities of each method (mean ranking and Borda ranking) are obtained. The model is proposed to help decide the best choice of remediation technologies. It can effectively reduce contingency, subjectivity, one-sidedness of the traditional methods and provide scientific reference for effective decision-making.

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“…In a study executed by Wang et al (2016) in an IC packaging company, a hybrid MCDM method was presented combining simple additive weighting (SAW), techniques for order preference by similarity to an ideal solution (TOPSIS) and gray relational analysis (GRA) techniques. In this study an experimental design technique was applied to assign attribute weights and then combined different MCDM evaluation methods to construct the hybrid decision-making model.…”

Section: Related Researchmentioning

confidence: 99%

Prioritizing the performance of civil development projects in governmental administration agencies, using gray relational analysis (GRA) and TOPSIS approach

Mohammadi¹,

Shojaei

Kaydan³

et al. 2016

10.5267/j.dsl

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A key indicator to evaluate the success of an organization is the degree of meeting specific civil project goals based on a predetermined schedule. Therefore, the main purpose of this paper is to evaluate the performance of governmental administration agencies based on realization of civil project goals. In this paper, the information published by the President Deputy of Strategic Planning and Control, that publishes an annual report of evaluation indicators for national civil development projects, are used to evaluate and prioritize the major and non-major governmental agencies. Also, the Gray Relational Analysis (GRA) and the TOPSIS method are employed to analyze the data. The results indicate that using the GRA method, Supreme Council of Seminary and using the TOPSIS method, The Ministry of Labor and Social Affaires have gained the highest ranking.cience Ltd. All rights reserved. Growing S 6

show abstract

A novel hybrid MCDM model combining the SAW, TOPSIS and GRA methods based on experimental design

Cited by 249 publications

References 34 publications

Optimization of process parameters through GRA, TOPSIS and RSA models

Optimization of process parameters through GRA, TOPSIS and RSA models

Evaluation of Groundwater Remediation Technologies Based on Fuzzy Multi-Criteria Decision Analysis Approaches

Prioritizing the performance of civil development projects in governmental administration agencies, using gray relational analysis (GRA) and TOPSIS approach

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