Which product would be chosen? A fuzzy VIKOR method for evaluation and selection of products in terms of customers' point of view; Case study: Iranian cell phone market

Farsi, Jahangir Yadollahi; Moradi, Javad; Jamali, Behrooz

doi:10.5267/j.dsl.2012.06.003

Cited by 7 publications

(5 citation statements)

References 25 publications

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“…In addition, ν here means the weight of the strategy of the maximum group utility (Wu et al, 2009). For more details of the implementation of this method, interested readers are referred to Yadollahi Farsi et al (2012).…”

Section: Fig1 Feedback System Modelmentioning

confidence: 99%

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A study on ranking ethical factors influencing customer loyalty

Abedini¹,

Naami²,

Modiri³

2013

10.5267/j.msl

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Having loyal customer is the primary objective of any business owner since loyal customers purchase on regular basis, create sustainable growth and reduce risk of bankruptcy. During the past few years, many people argue that customer loyalty must be established through ethical values. In this paper, we present an empirical investigation to detect ethical factors influencing customer loyalty. The proposed study determines five criteria including customer repurchase, interest in brand, recommending brand to others, positive attitude toward brand and cognitive loyalty to brand. These criteria have been ranked using fuzzy analytical network process. The study determines 14 different ethical values, which may play essential role on customer loyalty and using VIKOR, different ethical values are ranked. The study indicates that welcoming customers is the most important factor followed by cheerfulness, on time delivery, being informative and having appropriate standards.

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Section: Fig1 Feedback System Modelmentioning

confidence: 99%

“…Yadollahi Farsi et al (2012) introduced a technique of fuzzy decision making for ranking various alternatives by using recent advances in ranking methods for product selection. The proposed study applied oral preferences language stated in terms of triangular and trapezoid fuzzy numbers.…”

Section: Introductionmentioning

confidence: 99%

A study on ranking ethical factors influencing customer loyalty

Abedini¹,

Naami²,

Modiri³

2013

10.5267/j.msl

View full text Add to dashboard Cite

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“…As the present case is similar to decision making under uncertainty with the availability of various dependent parameters, a suitable multiple attribute decision making (MADM) with fuzzy logic approach could be used (Mittal, Tewari, & Khanduja, 2017a). Various MADM approaches such as TOPSIS (Technique for order preference by similarity to ideal solution) (Chen, 2000;Hwang et al, 1993;Mittal et al, 2016;Rathi et al, 2015), VIKOR (VlseKriterijumskaOptimisacija I KompromisnoResenje) (Liu et al, 2012;Opricovic & Tzeng, 2004;Yadollahi Farsi et al, 2012), AHP (Mittal et al, 2017b;Saaty, 1990) and SAW (simple additive weighting) (Chen & Klein, 1997) etc. are available but in this case study TOPSIS was selected as it was best suited for similar case scenarios.…”

Section: Fuzzy Evaluationmentioning

confidence: 99%

On the fuzzy evaluation of measurement system analysis in a manufacturing and process industry environment: A comparative study

Mittal¹,

Tewari²,

Khanduja³

2018

10.5267/j.msl

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Variation exists in all processes. There is not even a single process that is completely true. Measuring the trueness of the process is itself a process which can also imitate the process variation. Therefore, measurement system should be strong enough to wager on the trueness of the process. This paper is an attempt to indicate the true method and substantiate the use of measurement system analysis (MSA) by using it in two different environments i.e. in manufacturing as well as process industry. Also, a comparison among various analyzing techniques has been drawn for authenticating the candid method followed by an evaluation using fuzzy TOPSIS for authenticating the results of comparison. The organization's type, also, strongly influences the performance of MSA as revealed in the conclusion of the article. The results calculated by various methods and in both environments were discussed and as a result ANOVA comes out to be the best method. The application of correct MSA is highly required which ultimately results in increased organizations' performance. The study is one of its type and will motivate the researchers and industrialists to use and explore the new and efficient ways of MSA.

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“…This approach has provided excellent results in complex decision-making problems in engineering (Zeki Ayağ & Özdemir, 2006;Vats & Vaish, 2013;Zhang, 2004). MADM utilized a lot of methods in literature which includes TOPSIS (Technique for order preference by similarity to ideal solution) (Chen, 2000;Farsijani et al, 2015), VIKOR (VlseKriterijumska Optimisacija I Kompromisno Resenje) (Opricovic & Tzeng, 2004;Yadollahi Farsi et al, 2012), and AHP (Analytic hierarchy process) (Chang, 1996;Kahraman et al, 2003), SAW (simple additive weighting) (Chen & Klein, 1997), etc.…”

Section: Capacity Designmentioning

confidence: 99%

Synergy of fuzzy AHP and Six Sigma for capacity waste management in Indian automotive industry

Rathi¹,

Khanduja²,

Sharma³

2015

10.5267/j.dsl

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Capacity waste management is highly essential because under utilization of capacity is often referred to as a major reason for lower productivity among industries around the world. For better estimation of capacity and its utilization and then for its improved management; newer techniques are being devised in industrial sector. The current case of capacity waste problem has been taken up as a Six Sigma project, where we try to analyze critical factors responsible for the capacity waste. Decisions on critical factor selection in analysis phase of Six Sigma are always very crucial. The paper discusses an approach for selection of capacity waste factors at an automotive industry using fuzzy logic based AHP method. The fuzzy AHP is a well recognized tool to undertake the fuzziness of the data involved in choosing the preferences of the different decision variables engaged in the process of capacity waste factors selection. In this context, we have explored six crucial parameters for selection of capacity waste factors. Final ranking is calculated through priority vector thus obtained and it is seen that conveyor malfunction is found to be the key factor for capacity waste among all alternatives at the selected site.ed. Growing Science Ltd. All rights reserv 5 © 201

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Which product would be chosen? A fuzzy VIKOR method for evaluation and selection of products in terms of customers' point of view; Case study: Iranian cell phone market

Cited by 7 publications

References 25 publications

A study on ranking ethical factors influencing customer loyalty

A study on ranking ethical factors influencing customer loyalty

On the fuzzy evaluation of measurement system analysis in a manufacturing and process industry environment: A comparative study

Synergy of fuzzy AHP and Six Sigma for capacity waste management in Indian automotive industry

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