Basar Oztaysi

Fuzzy Multicriteria Decision-Making: A Literature Review

Multicriteria decision-making (MCDM) refers to making decisions in the presence of multiple and usually conflicting criteria. Fuzzy decision-making is used where vague and incomplete data exist for the solution. Fuzzy multicriteria decision-making is one of the most popular problems handled by the researchers in the literature. In this paper, we survey the latest status of fuzzy multicriteria decision-making methods and classify these methods dividing into two parts: fuzzy multiattribute decision-making (MADM) and fuzzy multiobjective decision-making (MODM). Most of the publications are on fuzzy MADM since there are a plenty of classical multiattribute decision-making methods in the literature. Tabular and graphical illustrations for each method are given.

Fuzzy analytic hierarchy process with interval type-2 fuzzy sets

The membership functions of type-1 fuzzy sets have no uncertainty associated with it. While excessive arithmetic operations are needed with type-2 fuzzy sets with respect to type-1s, type-2 fuzzy sets generalize type-1 fuzzy sets and systems so that more uncertainty for defining membership functions can be handled. A type-2 fuzzy set lets us incorporate the uncertainty of membership functions into the fuzzy set theory. Some fuzzy multicriteria methods have recently been extended by using type-2 fuzzy sets. Analytic Hierarchy Process (AHP) is a widely used multicriteria method that can take into account various and conflicting criteria at the same time. Our objective is to develop an interval type-2 fuzzy AHP method together with a new ranking method for type-2 fuzzy sets. We apply the proposed method to a supplier selection problem.

A decision model for information technology selection using AHP integrated TOPSIS-Grey

Content Management System (CMS) is an information system that allows publishing, editing, modifying content over internet through a central interface. By the evolution of internet and related communication technologies, CMS has become a key information technology (IT) for organizations to communicate with its internal and exterior environment. Just like any other IT projects, the selection of CMS consists of various tangible and intangible criteria which contain uncertainty and incomplete information. In this paper the selection of CMS among available alternatives is regarded as a multi criteria decision making problem. A decision model which consists of seven criteria and four alternatives is built, AHP (Analytic Hierarchy Process) integrated Grey-TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method is proposed, and applied in a Turkish foreign trade company. In the proposed model, the weights of the criteria are determined by AHP method and the alternatives are evaluated by Grey-TOPSIS. Due to the uncertainties, grey numbers are used for evaluations of the alternatives. One at a time sensitivity analysis is also provided in order to monitor the robustness of the method. Besides, the effects of using different distance functions, such as Manhattan, Euclidian and Minkowski distance functions on the results are examined. 2014 Elsevier B.V. All rights reserved.

Multi-criteria evaluation of alternative-fuel vehicles via a hierarchical hesitant fuzzy linguistic model

We concern with a fleet operator considering to adopt an alternative-fuel vehicle.The problem is a multi-expert and multicriteria problem with conflicting criteria.1st major contribution is identification and classification of evaluation criteria.2nd major contribution is a hierarchical hesitant fuzzy linguistic model.The paper presents a real world application with sensitivity and scenario analyzes. Decision on alternative-fuel vehicles is one of the most important problems for fleet operations. In this paper we propose a hierarchical hesitant fuzzy linguistic model that captures hesitant linguistic evaluations of multiple experts on multiple criteria for alternative-fuel vehicles. We apply the proposed model on the alternative-fuel vehicle selection problem of a home health care service provider in the USA. The results show that an electric vehicle is the best fit for the application in todays conditions. We also show robustness of the decision through a sensitivity analysis as well as analyze three scenarios representing possible changes in conditions.

A measurement tool for customer relationship management processes

Purpose – Customer relationship management (CRM) projects have a low success rate, which can be solved by better measurement of CRM process. The purpose of this paper is to define the CRM processes within a company and propose a tool for CRM measurement.Design/methodology/approach – An empirical study is conducted in industrial organizations in Turkey. The research is designed according to scale development literature. The responses from various industries (manufacturing, information technologies, tourism, service, retail, finance, logistics) were collected. Using exploratory factor analysis, 167 valid responses are analyzed.Findings – The paper provides a general understanding of CRM processes in customer‐oriented perspective and proposes a measurement tool that addresses seven main processes which are: targeting management, customer information management, production/service customization, expansion management, referrals management, termination management and win back.Practical implications – The result...

A new hesitant fuzzy QFD approach

Display Omitted A new hesitant fuzzy MCDM method based on linguistic term sets is proposed for QFD.The proposed method is relatively more efficient than the existing QFD approaches.It can aggregate the linguistic assessments of more than one decision maker.The relations between CRs&DRs and correlations among DRs via HFLTS are considered.A sensitivity analysis for robustness check is realized. Computer workstation selection is a multiple criteria decision making problem that is generally based on vague linguistic assessments, which represent human judgments and their hesitancy. In this paper, a new fuzzy quality function deployment (QFD) approach is used to effectively determine the design requirements (DRs) of a computer workstation. Hesitant fuzzy linguistic term sets (HFLTS) are innovatively employed to capture the hesitancy of the experts in this approach. More precisely, the proposed new QFD approach is the first study that determines the importance of customer requirements (CRs), the relations between CRs and DRs and the correlations among DRs via HFLTS. Additionally, HFLTS based Analytic Hierarchy Process (AHP) and Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) methods are utilized in the computational steps to select the best computer workstation. A real industrial application is carried out to validate the implementation of the proposed approach.

Multi‐attribute information technology project selection using fuzzy axiomatic design

Purpose – Significant productivity improvements have been experienced in business by information technology (IT) implementations in latest decades. However, IT project selection is an important problem because a significant part of IT expenditure is wasted and almost half of IT projects realize no net benefits. Since axiomatic design (AD) has the characteristics of multi‐attribute evaluation, it is proposed for multi‐attribute comparison of information technology systems (ITS).Design/methodology/approach – The comparison of ITS is made for the cases of both complete and incomplete information. The crisp AD approach for complete information and the fuzzy AD approach for incomplete information are developed. The numerical applications of both crisp and fuzzy AD approaches in the comparison of ITS are also given.Findings – The AD approach takes into account the design range of each criterion, determined by the designer. Thus, the alternative providing the design ranges is selected in AD approach while the al...

Intuitionistic fuzzy EDAS method: an application to solid waste disposal site selection

AbstractEvaluation based on Distance from Average Solution (EDAS) is a new multicriteria decision making (MCDM) method, which is based on the distances of alternatives from the average scores of attributes. Classical EDAS has been already extended by using ordinary fuzzy sets in case of vague and incomplete data. In this paper, we propose an interval-valued intuitionistic fuzzy EDAS method, which is based on the data belonging to membership, nonmembership, and hesitance degrees. A sensitivity analysis is also given to show how robust decisions are obtained through the proposed intuitionistic fuzzy EDAS. The proposed intuitionistic fuzzy EDAS method is applied to the evaluation of solid waste disposal site selection alternatives. The comparative and sensitivity analyses are also included.

Evaluation of research proposals for grant funding using interval-valued intuitionistic fuzzy sets

It is a well-known fact that the most appealing external funding for a project is grant funding. Therefore, evaluation of research proposal task needs an elaborate approach so as not to finance inconvenient projects. It is indispensable to establish a detailed study for submitted research proposals to have a clearer picture of the grant funding candidates. This study has contributed to research proposal evaluation using a multicriteria approach based on interval-valued intuitionistic fuzzy sets. An interval-valued intuitionistic fuzzy preference relation matrix is initially constructed to determine the relative importance of criteria based on pairwise comparisons in the presence of insufficient information about the criteria. The proposed evaluation method for grand funding allocation problem is composed of six main criteria and 24 sub-criteria. A sensitivity analysis is applied to see the robustness of the decision made.

A Comprehensive Literature Review of 50 Years of Fuzzy Set Theory

AbstractFuzzy sets have a great progress in every scientific research area. It found many application areas in both theoretical and practical studies from engineering area to arts and humanities, from computer science to health sciences, and from life sciences to physical sciences. In this paper, a comprehensive literature review on the fuzzy set theory is realized. In the recent years, ordinary fuzzy sets have been extended to new types and these extensions have been used in many areas such as energy, medicine, material, economics and pharmacology sciences. This literature review also analyzes the chronological development of these extensions. In the last section of the paper, we present our interpretations on the future of fuzzy sets.