In recent years, because of the high potential for insurability in Turkey and the rapid improvement of insurance sector, foreign investors are interested in Turkish insurance market. Since insurability rate has reached saturation point in their countries, foreign investors tended to make investments in Turkey and start to purchase local insurance companies in Turkey. In this paper we analyze fi...

Joint Admission Control (JAC) handles the admis-sion of all new or handoff service requests in the mod-ern heterogeneous networks and allocates the required resources and guarantees the QoS constraints for the service. JAC is a multicriteria problem in nature, and the usage of MCDM system is mandatory to decrease the influence of the dissimilar, imprecise, and contra-dictory measurements for th...

Since it was firstly introduced by Torra and Narukawa (The 18th IEEE International Conference on Fuzzy Systems, Jeju Island, Korea, 2009, pp. 1378–1382), the hesitant fuzzy set has attracted more and more attention due to its powerfulness and efficiency in representing uncertainty and vagueness. This paper extends the classical VIKOR (vlsekriterijumska optimizacija i kompromisno resenje in serb...

Online review is a hot topic in the field of electronic commerce. In this paper, a framework for evaluating the quality of online reviews is proposed. First, the features of online reviews are analyzed. And then, the VIKOR method is chosen to evaluate the online reviews, which are then sorted by the evaluating results. Finally, an example is given to illustrate the method.

The main objective of the present study is to evaluate multicriteria group decision-making problem in risk management for technological innovation projects (TIPs) under dual-probabilistic linguistic information. suggested approach based on an enhanced dual probabilistic linguistic-vise kriterijumska optimizacija kompromisno resenje (DPL-VIKOR) technique assess TIP employing conventional VIKOR i...

Interval type-2 fuzzy set (IT2FS) offers interesting avenue to handle high order information and uncertainty in decision support system (DSS) when dealing with both extrinsic and intrinsic aspects of uncertainty. Recently, multiple attribute decision making (MADM) problems with interval type-2 fuzzy information have received increasing attentions both from researchers and practitioners. As a re...

Performance measurement in the health-care sector is a challenging task due to the wide variety in performance metrics and their interpretation. It is essential to develop a robust methodology to evaluate health-care performance since substantial and increasing amount of public resources are dedicated to health-care. With this goal in mind, this paper proposes a fuzzy decision making framework ...

In today’s competitive global markets, selection of a potential supplier plays an important role to cut production costs as well as material costs of the company. This leads to successful survival and sustainability in a competitive marketplace. Therefore, evaluation and selection of an appropriate supplier has become an important part of supply chain management. The nature of the supplier sele...

Multi-criteria decision-making (MCDM) can be formally implemented by various methods. This study compares suitability of four selected MCDM methods, namely WPM, TOPSIS, VIKOR, and PROMETHEE, for future applications in agent-based computational economic (ACE) models of larger scale (i.e., over 10 000 agents in one geographical region). These four MCDM methods were selected according to their app...

This paper presents a group multi-criteria DEMATEL and VIKOR decision analysis method with interval type-2 fuzzy sets. In order to compare normal fuzzy trapezoidal numbers, we convert them into crisp values using graded mean integration representation. By a case study for selection of business intelligence platform, we prove that the proposed combination is a feasible solution that can work wit...