Market Segment Evaluation and Selection Based on Application of Fuzzy Ahp and Copras-G Methods

Aghdaie, Mohammad Hasan; Zolfani, Sarfaraz Hashemkhani; Zavadskas, Edmundas Kazimieras

doi:10.3846/16111699.2012.721392

Cited by 90 publications

(48 citation statements)

References 65 publications

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“…The steps of extent analysis can be given as follows (Chang 1996;Kahraman et al 2004;Aghdaie et al 2013):…”

Section: The Fuzzy Ahp (Fahp) Methodsmentioning

confidence: 99%

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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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“…The steps of extent analysis can be given as follows (Chang 1996;Kahraman et al 2004;Aghdaie et al 2013):…”

Section: The Fuzzy Ahp (Fahp) Methodsmentioning

confidence: 99%

“…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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“…[7,8]. From a practical point of view, the models based on a geographic information system are particularly interesting.…”

Section: Literature Reviewmentioning

confidence: 99%

A Mass Appraisal Model Based on Market Segment Parameters

2017

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Abstract:The proposed evaluation scheme is a uni-equation model to evaluate properties of Mass Appraisal (MA) in terms of widespread availability of sample data. It all allows the use of statistical models and in the opposite conditions of the absence of data of comparable properties, the functions of similar market areas are known as well as the ones near to those for which you want to estimate the function. Of course, the accuracy of the evaluation increases with the amount of available data, with other equal conditions and evaluations carried out without data (but in the presence of other market information). It requires extra-statistical appraisal procedures involving a complete knowledge of the real estate market. However, such knowledge is also required in the MA performed by quantitative models with regard to the data sampling and performance monitoring process. The model considers micro-level characteristics of the properties and macro-level parameters of the real estate market segments. The appraisal model defines the prediction function with both the statistical models and estimation procedures. For this purpose, the model considers four specific situations: the construction of a statistical model operating with a sufficiently large sample of market prices; the construction of a prediction function operating with a very few number of market prices samples; in this situation, the appraisal function of market value is defined by using a sample of market prices referred to comparable properties, and these are few for statistical use but perfectly suitable to the appraisal process; the construction of a prediction function operating with only one market price; the construction of a prediction function operating in the absence of real estate data but with similar functions of market areas with other estimated proprieties. The presented model provides a uniform method of estimating the market value of properties (and fees), through the modular functions. The model studied is able to operate also with reduced information, considering the practical circumstances, the boundary conditions, the application precautions and the significance of the results.

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“…Many classical and extended decision rules designed for pure or mixed MDMU (multi-criteria decision-making under uncertainty) have been already developed, e.g. [Aghdaie et al, 2013;Ben Amor et al, 2007;Dominiak, 2006;Durbach, 2014;Eiselt, Marianov, 2014;GasparsWieloch, 2014d;2015c;2015d;2017;Ginevičius, Zubrecovas, 2009;Goodwin, Wright, 2001;Hopfe et al, 2013;Janjic et al, 2013;Korhonen, 2001;Lee, 2012;Liu et al, 2011;Lo, Michnik, 2010;Michnik, 2013;Mikhaidov, Tsvetinov, 2004;Montibeller et al, 2006;Ram et al, 2010;Ramik et al, 2008;Ravindran, 2008;Silva, 2016;Stewart, 2005;Suo et al, 2012;Troutt, Pettypool, 1989;Tsaur et al, 2002;Urli, Nadeau, 2004;Wojewnik, Szapiro, 2010;Xu, 2000;Yu, 2002]. Some of them can be applied when the DM intends to perform the selected alternative only once (one-shot decisions).…”

Section: How To Combine Criteria With Scenarios In Uncertain Multi-crmentioning

confidence: 99%

A Decision Rule for Uncertain Multi-Criteria Pure Decision Making and Independent Criteria

Gaspars-Wieloch

2017

Optimum

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SummaryThe paper is concerned with multi-criteria decision-making under uncertainty with scenario planning. This topic has been explored by many researchers since almost all real-world decision problems contain multiple conflicting criteria and a deterministic evaluation of criteria is often impossible. We propose a procedure for uncertain multi-objective optimization which can be applied when seeking a pure strategy. A pure strategy, as opposed to a mixed strategy, allows the decision-maker to select and perform only one accessible alternative. The new approach takes into account the decision-maker's preference structure (importance of particular goals) and nature (pessimistic, moderate or optimistic attitude towards a given problem). It is designed for one-shot decisions made under uncertainty with unknown probabilities (frequencies), see decision-making under complete uncertainty or decision-making under strategic uncertainty. The novel approach can be used in the case of totally independent payoff matrices for particular targets.

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Market Segment Evaluation and Selection Based on Application of Fuzzy Ahp and Copras-G Methods

Cited by 90 publications

References 65 publications

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

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

A Mass Appraisal Model Based on Market Segment Parameters

A Decision Rule for Uncertain Multi-Criteria Pure Decision Making and Independent Criteria

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