Analysis of the financial parameters of Serbian banks through the application of the fuzzy AHP and TOPSIS methods

Mandic, Ksenija; Delibašić, Boris; Knežević, Snežana; Benković, Slađana

doi:10.1016/j.econmod.2014.07.036

Cited by 152 publications

(53 citation statements)

References 24 publications

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“…The main objective and our motivation are to propose a systematic evaluation model to guide the selection of an effective formulation among a set of available alternatives by using the MCDM. Therefore, this study presents an MCDM model for the researchers which uses AHP to determine the importance weights of evaluation criteria, and TOPSIS to obtain the performance ratings of the feasible alternatives (Yurdakul, İç 2005;Dagdeviren et al 2009;Tsai, Chang 2013;Kou et al 2014;Hacioglu, Dincer 2015;Mandic et al 2014;Prakash, Barua 2015). Although AHP and TOPSIS methods are explained in the following sections, the readers are referred to Saaty (1980), Sen and Yang (1998), Yurdakul and İç (2005), Dagdeviren et al (2009) for detailed explanations and application steps of AHP and TOPSIS methods.…”

Section: Definitions and Preliminaries: Mcdmmentioning

confidence: 99%

A Comparative Study of the Capability of Alternative Mixed Integer Programming Formulations

Keçeci

Derya

Dinler

et al. 2017

Technological and Economic Development of Economy

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Abstract. In selecting the best mixed integer linear programming (MILP) formulation the important issue is to figure out how to evaluate the performance of each candidate formulation in terms of selected criteria. The main objective of this study is to propose a systematic approach to guide the selection of the best MILP formulation among the alternatives according to the needs of the decision maker. For this reason we consider the problem of "selecting the most appropriate MILP formulation for a certain type of decision maker" as a multi-criteria decision making problem and present an integrated AHP-TOPSIS decision making methodology to select the most appropriate formulation. As an example the proposed decision making methodology is implemented on the selection of the MILP formulations of the Capacitated Vehicle Routing Problem (CVRP). A numerical example is provided for illustrative purposes. As a result, the proposed decision model can be a tool for the decision makers (here they are the scientists, engineers and practitioners) who intend to choose the appropriate mathematical model(s) among the alternatives according to their needs on their studies. The integrated AHP-TOPSIS approach can simply be incorporated into a computer-based decision support system since it has simplicity in both computation and application.

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Section: Definitions and Preliminaries: Mcdmmentioning

confidence: 99%

A Comparative Study of the Capability of Alternative Mixed Integer Programming Formulations

Keçeci

Derya

Dinler

et al. 2017

Technological and Economic Development of Economy

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“…The Fuzzy Analytic Hierarchy Process and the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) have been integrated into the assessment of the financial performance of banks in Serbia covering the period between the years 2005 and 2010 (Mandic et al, 2014).…”

Section: Literature Reviewmentioning

confidence: 99%

Bir Süt Ürünleri Fabrikasinda Bulanik AHS ile Makine Seçimi

Özdağoğlu¹,

Bahar²,

Yakut³

2017

Yönetim Ve Ekonomi: Celal Bayar Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi

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“…Furthermore, fuzzy logic can be the basis for numerous methods through which qualitative assessments can be expressed through quantitative data [20]. Fuzzy sets generally employ triangular, trapezoidal and Gaussian fuzzy numbers, converting uncertain numbers into fuzzy numbers.…”

Section: Fuzzy Set Theory and Fuzzy Numbersmentioning

confidence: 99%

Solving the Chief Executive Officer Selection Problem Using the Fuzzy Decision Support System

Vukoje¹,

Bobar²

2016

JITA

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Chief Executive Offi cer (CEO) selection as a subset of personnel selection asks for different characteristic compared to a selection of other personnel. The reason for this is the polymorphic nature of the CEO role. The complexity and importance of the selection problem, call for analytical methods rather than decisions based on intuition. The multi-criteria nature and the presence of both qualitative and quantitative factors make the entire selection more complex. As such, the CEO selection is a multi-criteria decision making problem decision making problem, affected by several qualitative and quantitative, often confl icting criteria which are usually uncertain. This paper proposes a CEO selection approach based on the fuzzy decision support system developed by using JAVA technology and extent analysis method. This system is applied in a real-life case study to evaluate the most suitable person for a CEO position in information and communication (ICT) company dealing with the rating of both qualitative and quantitative criteria, and testing appropriate consistency to ensure quality of selection.

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Analysis of the financial parameters of Serbian banks through the application of the fuzzy AHP and TOPSIS methods

Cited by 152 publications

References 24 publications

A Comparative Study of the Capability of Alternative Mixed Integer Programming Formulations

A Comparative Study of the Capability of Alternative Mixed Integer Programming Formulations

Bir Süt Ürünleri Fabrikasinda Bulanik AHS ile Makine Seçimi

Solving the Chief Executive Officer Selection Problem Using the Fuzzy Decision Support System

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