A new approach for multiple objective decision making

Hwang, Ching-Lai; Lai, Young-Jou; Liu, Ting-Yun

doi:10.1016/0305-0548(93)90109-v

Cited by 835 publications

(418 citation statements)

References 5 publications

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“…The TOPSIS method is a MCDM technique which was first proposed by Hwang and Yoon (1981) and later improved by Yoon (1987) and Hwang et al (1993). According to this method, the chosen alternative should have the shortest distance from the positive ideal solution and the longest distance from the negative ideal solution.…”

Section: Literature Reviewmentioning

confidence: 99%

An Evaluation of the Financial Performance of REITs in Borsa Istanbul: A Case Study Using the Entropy-Based TOPSIS Method

Islamoğlu¹,

Apan²,

Öztel³

2015

International Journal of Financial Research

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Real Estate Investment Trusts are financial intermediaries which facilitate the provision of finance for real estate properties and thus play a key role in the development of the real estate market. An accredited assessment of financial performance is more vital today as there is increasing competition which poses a risk to maintaining the market share of companies. Therefore, the valuation of companies in terms of liquidity, profitability, turnover and capital structure help managers to take the necessary measures and thus contribute to the soundness of the companies. In this study, a financial analysis of REITs between 2011Q1-2014Q3 within the financial market in Turkey was measured using Entropy based TOPSIS (Technique for Order Preference by Similarity to An Ideal Solution) which is a widely-used Multi-Criteria Decision Making (MCDM) method. According to the empirical results, for all the periods, Avrasya, Akmerkez, Sinpaş, Kiler and İş were found to be the most efficient REITs respectively, whereas, İdealist, Atakule, Alarko, Nurol and Vakıf demonstrated the worst financial performances throughout the whole period.

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Section: Literature Reviewmentioning

confidence: 99%

An Evaluation of the Financial Performance of REITs in Borsa Istanbul: A Case Study Using the Entropy-Based TOPSIS Method

Islamoğlu¹,

Apan²,

Öztel³

2015

International Journal of Financial Research

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“…The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is a multi-attribute decision analysis method [12]- [14] that continues to be widely used to rank order alternatives. TOPSIS is based on the concept that the chosen alternative should have the shortest geometric distance from the positive ideal solution and the longest geometric distance from the negative ideal solution.…”

Section: Methodologies To Find Key Players Across Many Metrics: Applimentioning

confidence: 99%

Using Mathematical Models in Decision Making Methodologies to Find Key Nodes in the Noordin Dark Network

Fox¹,

Everton²

2014

AJOR

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A Dark Network is a network that cannot be accessed through tradition means. Once uncovered, to any degree, dark network analysis can be accomplished using the SNA software. The output of SNA software includes many measures and metrics. For each of these measures and metric, the output in ORA additionally provides the ability to obtain a rank ordering of the nodes in terms of these measures. We might use this information in decision making concerning best methods to disrupt or deceive a given dark network. In the Noordin Dark network, different nodes were identified as key nodes based upon the metric used. Our goal in this paper is to use methodologies to identify the key players or nodes in a Dark Network in a similar manner as we previously proposed in social networks. We apply two multi-attribute decision making methods, a hybrid AHP & TOPSIS and an average weighted ranks scheme, to analyze these outputs to find the most influential nodes as a function of the decision makers' inputs. We compare these methods by illustration using the Noordin Dark Network with seventy-nine nodes. We discuss sensitivity analysis that is applied to the criteria weights in order to measure the change in the ranking of the nodes.

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“…It provides the principle of compromise that the ehosen alternative should have "the shortest distance firom the positive ideal solution (PIS)" and "the farthest distance from the negative ideal solution (NIS)." Lately, this principle of cornpromise has also been suggested by Hwang et al [9] for solving MODM problems. Recently, Abo-Sinna [1] extends the TOPSIS to solve multiobjective dynamics programming problems.…”

Section: Introductionmentioning

confidence: 92%

“…In the 1ast two [11, 13, 15-17, 19,20] [9]. The technique for order preference by similarity ideal selution (TOPSIS) was first developed by Hwang and Ybon [10] to solve a multiple attribute decision making (MADM) problem.…”

Section: Introductionmentioning

confidence: 99%

A Topsis-Based Entropic Regularization Approach for Solving Fuzzy Multi-Objective Nonlinear Programming Problems

Liu

Hu²

2012

JORSJ

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A new approach for multiple objective decision making

Cited by 835 publications

References 5 publications

An Evaluation of the Financial Performance of REITs in Borsa Istanbul: A Case Study Using the Entropy-Based TOPSIS Method

An Evaluation of the Financial Performance of REITs in Borsa Istanbul: A Case Study Using the Entropy-Based TOPSIS Method

Using Mathematical Models in Decision Making Methodologies to Find Key Nodes in the Noordin Dark Network

A Topsis-Based Entropic Regularization Approach for Solving Fuzzy Multi-Objective Nonlinear Programming Problems

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