A novel hybrid social media platform selection model using fuzzy ANP and COPRAS-G

Tavana, Madjid; Momeni, Ehsan; Rezaeiniya, Nahid; Mirhedayatian, Seyed Mostafa; Rezaeiniya, Hamidreza

doi:10.1016/j.eswa.2013.05.015

Cited by 104 publications

(55 citation statements)

References 44 publications

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“…-Hashemkhani Zolfani et al (2012) utilized a hybrid AHP and COPRAS-G based MCDM model for supplier selection. - Tavana et al (2013) proposed the fuzzy Analytic Network Process (ANP) and the COPRAS-G method, in determine the weight of the social media platform selection criteria in a fuzzy environment and select the most suitable social media platform. - Aghdaie et al (2013a) presents a novel approach, which integrates fuzzy analytic hierarchy process (FAHP), and COPRAS-G method for market segment evaluation and selection.…”

Section: Copras-g Methodsmentioning

confidence: 99%

“…fuzzy AHP based grey relational analysis (Golmohammadi, Parast 2012), fuzzy ANP based COPRAS-G (Tavana et al 2013;Nguyen et al 2014), fuzzy AHP based CORPAS-G (Aghdaie et al 2013a). In the current study, we propose a new hybrid decision model for the supplier selection based on the fuzzy-Rasch model (Huang, Peng 2012;Chatterjee, Kar 2013b) for assessing risk attributes weight and COPRAS-G method (Zavadskas et al 2008) for ranking of alternative suppliers.…”

Section: Introductionmentioning

confidence: 99%

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Supplier selection in Telecom supply chain management: a Fuzzy-Rasch based COPRAS-G method

Chatterjee

Kar

2018

Technological and Economic Development of Economy

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Abstract. In the past decade, global competition are forcing firms to increase their level of outsourcing for raw or semi-finished products and building long term relationship with their supply chain partners. The objective is to present a wide-ranging decision making technique for ranking supplier alternatives in view of the effect of selected criteria. A proposed method is developed aiming the usage of Fuzzy-Rasch model applying five point Likert scale for criteria weight and Grey based COmplex PRoportional ASsessment (COPRAS-G) method for evaluating and ranking the potential alternatives, as per criteria. The applicability of the induced methodology for supplier selection problem in all environments is shown through a case study in telecommunication sector. A sensitivity analysis is performed based on changing weight patterns of criteria to show the stability in ranking result of the proposed approach. Further, a comparative analysis between the ranking results of proposed method done with existing grey multi-attribute decision-making methods viz. VIKOR-G, ARAS-G and TOPSIS-G using spearman's correlation coefficient for checking the reliability of the ranking result.

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Section: Copras-g Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Supplier selection in Telecom supply chain management: a Fuzzy-Rasch based COPRAS-G method

Chatterjee

Kar

2018

Technological and Economic Development of Economy

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“…Laarhoven and Pedrycz (1983) have first used FAHP by adapting the TFN of the FST (Bulut et al 2012). Fuzzy sets and FAHP extent analysis method are as follows (Tavana et al 2013;Aghdaie et al 2013;Ecer 2015). A fuzzy number is a special fuzzy set…”

Section: The Fuzzy Ahp (Fahp) Methodsmentioning

confidence: 99%

An Integrated Fuzzy Ahp and Aras Model to Evaluate Mobile Banking Services

Ecer

2017

Technological and Economic Development of Economy

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Abstract.Mobile banking (M-banking) which integrates software, hardware, and human is a new platform for banks. Determining the performance of M-banking services helps bank practitioners identify better policy to improve their positions. The aim of this study is to develop an integrated model for evaluating M-banking services by two methods, namely the Fuzzy Analytic Hierarchy Process (FAHP) with an extent analysis approach and ARAS (Additive Ratio ASsessment). In this study, the priority weights obtained through the FAHP are combined with the ARAS method to assess and rank the M-banking services. Moreover, in order to verify the applicability of this proposed model, a case study in Turkey is offered. The findings indicate that facilitating conditions play the most determining role in the adoption of the M-banking, followed by self-efficacy, privacy risk, and security risk. Consequently, the proposed model helps to overcome difficulties in M-banking service evaluation process and increases the efficiency of the M-banking service activities. Besides, the case study validates that the proposed model is an effective and efficient decision making tool for the evaluation of M-banking services under fuzzy environments.

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“…MCDM methods can help to improve the quality of decisions by making the decision-making process more explicit, rational and efficient (Lourenzutti & Krohling, 2013;Podvezko & Sivilevičius, 2013;Tavana et al, 2013;Chai et al, 2013;Ruzgys et al, 2014). An intriguing problem with MCDM methods which rank a set of alternatives in terms of a number of competing criteria is that oftentimes different MCDM methods may yield different rank orders when they are fed with exactly the same numerical data.…”

Section: Introductionmentioning

confidence: 99%

A study on the ranking performance of some MCDM methods for industrial robot selection problems

Karande¹,

Zavadskas²,

Chakraborty³

2016

10.5267/j.ijiec

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In this paper, the ranking performance of six most popular and easily comprehensive multicriteria decision-making (MCDM) methods, i.e. weighted sum method (WSM), weighted product method (WPM), weighted aggregated sum product assessment (WASPAS) method, multi-objective optimization on the basis of ratio analysis and reference point approach (MOORA) method, and multiplicative form of MOORA method (MULTIMOORA) is investigated using two real time industrial robot selection problems. Both single dimensional and high dimensional weight sensitivity analyses are performed to study the effects of weight variations of the most important as well as the most critical criterion on the ranking stability of all the six considered MCDM methods. The identified local weight stability interval indicates the range of weights within which the rank of the best alternative remains unaltered, whereas, the global weight stability interval determines the range of weights within which the overall rank order of all the alternatives remains unaffected. It is observed that for both the problems, multiplicative form of MOORA is the most robust method being least affected by the changing weights of the most important and the most critical criteria.

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A novel hybrid social media platform selection model using fuzzy ANP and COPRAS-G

Cited by 104 publications

References 44 publications

Supplier selection in Telecom supply chain management: a Fuzzy-Rasch based COPRAS-G method

Supplier selection in Telecom supply chain management: a Fuzzy-Rasch based COPRAS-G method

An Integrated Fuzzy Ahp and Aras Model to Evaluate Mobile Banking Services

A study on the ranking performance of some MCDM methods for industrial robot selection problems

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