Multi-criteria Group Decision Making Using A Modified Fuzzy TOPSIS Procedure

Saghafian, Soroush; Hejazi, Seyed Reza

doi:10.1109/cimca.2005.1631471

Cited by 80 publications

(61 citation statements)

References 10 publications

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“…Jiang et al [17] stated that TOPSIS was widely used due to its logicality, rationality, and computational simplicity. The TOPSIS method has various successful applications in the literature: aggregate production planning [18], inter-company comparison [19], supplier evaluation and selection, risk assessment, and facility location selection [8], operating system selection [20], software selection [21], weapon selection [22], and performance measurement and evaluation [23]. Deng et al [19] used the TOPSIS approach to compare company performances and financial ratio performance within a specific industry.…”

Section: Literature Reviewmentioning

confidence: 99%

A Multi-Criteria Decision-Making Approach That Combines Fuzzy Topsis and Dea Methodologies

Taylan

Alidrisi

Kabli

2014

SAJIE

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Employee selection is a multi-criteria decision-making (MCDM) problem for selecting suitable applicants from a ready pool. The selection aims to make use of their knowledge, relevant skills, and other characteristics to perform a specific job. The aim of this study is to develop a systematic approach for selecting the best candidates among the air traffic controllers (ATCs) for aviation in Saudi Arabia. Three integrated methods were employed for decision-making in this study. First, a fuzzy decision tree was applied to determine the criteria weights, then the fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was employed to rank the attributes. In the last step, the Data Envelopment Analysis (DEA) was used to transform the qualitative variables into quantitative equivalences. A survey was conducted by national and international decisionmakers to elicit the necessary information on the criteria and sub-criteria of the air traffic control system. The decision problem was formulated by employing five criteria and ten applicants. The relationship between the fuzzy TOPSIS and fuzzy-weighted average was very positive for decision-making. The outcomes of the fuzzy TOPSIS and DEA encouraged the development of a decision support system for the selection of ATCs. OPSOMMINGDie kies van werknemers vanuit 'n lys van gepaste aansoeke is 'n multi-kriteria besluitnemingsprobleem. Die seleksie se doel is om gebruik te maak van die potensiële werknemers se relevante vaardighede en ander eienskappe om 'n spesifieke taak te verrig. Die doel van hierdie navorsing is om 'n sistematiese benadering, om die beste kandidate vir lugruimbeheerderposisies in Saoedi Arabië te identifiseer, te ontwikkel. Drie geïntegreerde metodes is ingespan vir die besluitneming in hierdie studie. Eerstens is 'n wasige besluitnemingsboom toegepas om die kriteria gewigte te bepaal. Daarna is die wasige tegniek van Orde Voorkeur deur Ooreenkoms tot die Ideale Oplossing toegepas om die kenmerke te rangskik. Laastens is die Data Omvangs Analise gebruik om die kwalitatiewe veranderlikes tot kwantitatiewe gelykhede om te skakel. 'n Peiling is onder nasionale en internasionale besluitnemers geneem om die noodsaaklike inligting rakende die kriteria en sub-kriteria van die lugruimbeheerstelsel te bepaal. Die besluitnemingsvraagstuk is geformuleer deur vyf kriteria en tien aansoekers in te span. Die verhouding tussen die wasige Orde Voorkeur deur Ooreenkoms tot die Ideale Oplossing en wasig-geweegde gemiddeld was besonder positief vir besluitneming. Die resultate van die wasige Orde Voorkeur deur Ooreenkoms tot die Ideale Oplossing en die Data Omvangs Analise moedig die ontwikkeling van 'n besluitneming ondersteuningstelsel vir lugruimbeheerders aan.

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Section: Literature Reviewmentioning

confidence: 99%

A Multi-Criteria Decision-Making Approach That Combines Fuzzy Topsis and Dea Methodologies

Taylan

Alidrisi

Kabli

2014

SAJIE

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“…Usually there are not more than 10 candidates among which the selection is performed. (Saghafian and Hejazi, 2005;Triantaphyllou, 2000). We did not find it explicitly stated that Topsis belongs to Value measurement theory approaches, nor to other specific family of MCDA approaches.…”

Section: Weighted Product Model (Wpm)mentioning

confidence: 92%

Multiple Criteria Decision Methods in Informatics Olympiads

SKŪPIENĖ¹

2015

IOI

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Abstract. Multiple Criteria Decision Making (MCDM) is applied in a variety of areas, including education. Informatics Olympiads, problem solving contests for high school students, is the area where MCDM methods can also be applied. The case of the Lithuanian Informatics Olympiad is analysed in this paper. There are several aspects occuring while maintaining the contest that requires decision making. The work of each contestant is evaluated in terms of several criteria, where each criterion is measured according to its own scale (but the same scale for each contestant). Several jury members are involved in the evaluation. Thus we get a problem: how to calculate the aggregated score for whole submission in the above mentioned situation. Another similar problem is making decision on national team selection for other international contests where each candidate is evaluated in terms of several criteria. The chosen methodology for solving this problem is multiple criteria decision analysis (MCDA). The outcome of this paper is the score aggregation method proposed to be applied in LitIO developed using MCDA approaches.

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“…Madi (2011) applied fuzzy TOPSIS in the application of selecting investment boards on bursa Malaysia under a set of criteria. Saghafian (2005) introduced a modified fuzzy TOPSIS procedure with a new distance measure for solving MCGDM problems. However, the fuzzy set has demonstrated a good performance in handling data uncertainty by using membership function, they failed to handle non-membership degree and indeterminacy membership degree.…”

Section: Introductionmentioning

confidence: 99%

Neutrosophic TOPSIS Based Game Theory for Solving MCGDM Problems

2017

Aust. J. Basic & Appl. Sci.

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Background: Multi-Criteria Group Decision Making (MCGDM) problems can be defined as the process of choosing the most suitable alternative among a set of alternatives. MCGDM problems can contain more than one participant, so the competition can possibly arise between the participants of any MCGDM Problem. MCGDM problems also contain complex, uncertain, incomplete, and imprecise information, so the crisp sets cannot be precious for representing this information. Objective: A new approach for solving the MCGDM problems which have competition between their participants under the condition of the uncertainty in data is proposed in this paper. In this approach, Single Valued Neutrosophic Sets (SVNs) is firstly used for representing the data uncertainty. Then, TOPSIS technique is extended to handle the SVN environment. After that, the game theory is used to find the optimal solution due to its superiority in dealing with the competition situations. Results: Finding the Nash equilibrium for the competitive MCGDM problem under neutrosophic environment (two-player non-constant sum game). Conclusion: The proposed technique opens the door of utilizing neutrosophic sets in conjunction with game theory principles in solving competitive MCGDM problems under uncertainty conditions.

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Multi-criteria Group Decision Making Using A Modified Fuzzy TOPSIS Procedure

Cited by 80 publications

References 10 publications

A Multi-Criteria Decision-Making Approach That Combines Fuzzy Topsis and Dea Methodologies

A Multi-Criteria Decision-Making Approach That Combines Fuzzy Topsis and Dea Methodologies

Multiple Criteria Decision Methods in Informatics Olympiads

Neutrosophic TOPSIS Based Game Theory for Solving MCGDM Problems

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