Mehmet Kabak

A fuzzy hybrid MCDM approach for professional selection

Highlights? A novel hybrid model is created for the professional selection problem. ? The weights of criteria related with sniper are calculated by fuzzy ANP. ? Fuzzy TOPSIS is used to determine the most suitable candidates. ? Final ranking is obtained with fuzzy ELECTRE. Personnel selection is an important process in management. Sniper selection as a subset of personnel selection contains different characteristics compared to selection of other personnel. The multi criteria nature and the presence of both qualitative and quantitative factors make it considerably more complex. This study proposes a fuzzy hybrid multicriteria decision making approach enabling the combination of both qualitative and quantitative factors. The use of a combination of Fuzzy ANP, Fuzzy TOPSIS, Fuzzy ELECTRE techniques, proposing a MCDM approach for sniper selection, and applying these to a real case are the unique features of this study.

A hybrid MCDM approach to assess the sustainability of students’ preferences for university selection

AbstractSelection of the most suitable university among many alternatives is a multi-criteria decision making (MCDM) problem. In this paper, an integrated approach which employs analytic network process (ANP) and preference ranking organization method for enrichment evaluations (PROMETHEE) together, is proposed for this problem. By the way, the paper is concerned with criteria influencing student choice in Turkey to establish if there is any need in developing a multi-criteria model for predicting students’ preference for universities. The ANP is used to analyse the structure of the university selection problem and to determine weights of the criteria, and the PROMETHEE method is used to obtain final ranking, and to make a sensitivity analysis by changing the weights for criteria. The results indicate that three factors, future career prospects and opportunities, scholarship and universitys social life at the top in the university selection.

Grey relational analysis between energy consumption and economic growth

Purpose – The relationship between energy consumption (EC) and economic growth is a well-known and more studied subject in literature. In this study, Turkeys EC and gross domestic product (GDP) relation is analyzed. The aim of this study is to find out the relative importance of energy components on GDP for Turkey. Hence, the authors can make some strategic implications up to the importance of energy components on GDP. Design/methodology/approach – In this study, two methods are used to find out the importance of energy types on economic growth for Turkey. First, grey relational analysis (GRA) is used to determine the most influential energy types on GDP. Then regression analysis is used to compare outcomes which are yielded by GRA. Findings – The analyses of the results show that the most important energy sources are oil and renewables for Turkey. Both energy sources have equal importance with economic growth. However, it is implied that this balance should be destabilized for the sake of renewable prod...

Grey theory based MCDM procedure for sniper selection problem

Purpose – Personnel selection is an important process in management due to the high cost of unfavorable employee procurement. The multi criteria nature and the presence of both qualitative and quantitative factors make it considerably more complex. The purpose of this paper is to propose a grey theory‐based hybrid approach to solve personnel selection problems in uncertain environments.Design/methodology/approach – The work procedure is as follows: first, grey analytic network process (GANP) is applied to calculate selection criteria weights and then candidates are ranked by using grey possibility degrees. Finally, an example of a selection problem of sniper for a military unit was used to illustrate the proposed approach.Findings – The analyses of the results show that grey theory‐based methods have enormous chance of success for personnel selection problems in uncertain situations.Originality/value – Although there are some applications for personnel selection problems that used grey system theory in th...

A fuzzy-based decision making procedure for machine selection problem

The selection of appropriate machines is one of the most critical decisions in the design and development of an efficient production environment. It is the fact that improper machine selection can result in quality, flexibility, productivity, etc., problems and negatively affect the overall performance and productivity of a manufacturing system. On the other hand, selecting the best machine among many alternatives is a multi-criteria decision making (MCDM) problem. In this paper, a fuzzy-based MCDM approach is used. For this aim, the fuzzy analytic network process (FANP) is used to determine weights of the criteria and preference ranking organization method for enrichment evaluations (PROMETHEE) is used to obtain final ranking of alternative machines. The proposed approach is applied for the selection of a CNC router machine (RM) to be purchased in an international company. In the problem addressed, there are four main criteria, namely cost, quality, flexibility and performance with the corresponding fourteen sub-criteria. The results for the case study indicate the best machine among six potential alternatives and provide different managerial insights for the decision makers.

A holistic evaluation of the e-procurement website by using a hybrid MCDM methodology

Governments strive to enhance electronic applications in an attempt to take advantage of the benefits of the internet. The most important application of the e-government applications is electronic Public Procurement (e-PP) and it can be defined as the purchasing of goods and services via internet. Like other developed and developing countries, Turkey also shifted the public procurement system through electronic means. Therefore, this study is aimed to develop an evaluation model for web interface of the e-PP which is called EKAP. While developing the model, Decision Making Trial and Evaluation Laboratory (DEMATEL), Analytic Network Process (ANP) and fuzzy set theory are used. As a result, standardisation, links, reliability and navigability are found as the most important urgent need for improvement.

A hybrid SWOT-FANP model for energy policy making in Turkey

ABSTRACT Energy has a vital role in the development of countries. The situation of global increasing demand for energy, lack of domestic resources, energy prices, etc. forces the policymakers to plan energy policies in detail. In this paper, the strategic energy situation of Turkey is analyzed. This paper presents a hybrid model that combines strength, weakness, opportunity, and threat (SWOT) analysis with the fuzzy analytic network process (FANP) method. In the evaluation process, it is occasionally impossible to take precise information from decision makers (DMs) who can say their assessments relatively and approximately. It is also needed to use fuzzy logic to alleviate this problem. Since the evaluation and selection of alternative energy policies are complex multi-criteria decision making (MCDM) problem, one of the most popular MCDM methods, ANP, is used under fuzziness in this paper. For this aim, four factors and 21 sub-factors are determined and seven alternative policies are evaluated. It is computed that the most important three sub-factors are “major companies’ interest for offshore drilling in Mediterranean and Black Sea,” “developing economy of the country,” and “rapidly increasing energy demand,” respectively. As a result, Turkish energy policy makers are advised to focus on the privatization of electric transmission and distribution facilities, integrating the national electric system with European transmission systems and turning the country into an energy hub and terminal to be able to get the rapid economic growth and mitigate future energy problems.

A GIS-based risk reduction approach for the hazardous materials routing problem in Gaziantep

ABSTRACT The transportation of hazardous materials assumes a fundamental importance, especially in urban areas, in order to identify possible alternative routes and to choose the route with minimum risk. Therefore, considering minimization risk rather than minimization distance to prevent a potential danger being transformed into a real event is necessary. In this article , a geographic information system (GIS)–based solution approach is developed to quantify the factors on each link in the network that contribute to a possible route. Based on the origin and destination of each shipment, the risks associated with the routes that minimize (1) the transport distance, (2) the population exposure, (3) the probability of an incident, and (4) the emergency response are evaluated. Proposed risk models are applied to fuel-oil transportation problem between resource point and 78 gasoline stations through the road network of Gaziantep city center. Results show that the proposed framework can contribute to the thought processes of policy-makers and carriers when they evaluate possible routes in order to minimize damage for transporting fuel oil.

Evaluation of ecotourism sites: a GIS-based multi-criteria decision analysis

Purpose The aim of this study is to evaluate the potential geographic locations for ecotourism activities and to select the best one among alternatives. Design/methodology/approach The proposed model consists of four sequential phases. In the first phase, different geographic criteria are determined based on existing literature, and data are gathered using GIS. On equal criteria weighing, alternative locations are determined using GIS in the second phase. In the third phase, the identified criteria are weighted using analytical hierarchy process (AHP) by various stakeholders of potential ecotourism sites. In the fourth phase, the PROMETHEE method is applied to determine the best alternative based on the weighted criteria. Findings A framework including four sequential steps is proposed. Using real data from the Black Sea region in Turkey, the authors test the applicability of the evaluation approach and compare the best alternative obtained by the proposed method for nine cities in the region. Consequently, west of Sinop, east of Artvin and south of the Black Sea region are determined as very suitable locations for ecotourism. Research limitations/implications The first limitation of the study is considered the number of included criteria. Another limitation is the use of deterministic parameters that do not cope with uncertainty. Further research can be conducted for determining the optimum locations for different types of tourism, e.g. religion tourism, hunting tourism and golf tourism, for effective tourism planning. Practical implications The proposed approach can be applied to all area that cover the considered criteria. The approach has been tested in the Black Sea region (nine cities) in Turkey. Social implications Using the proposed approach, decision-makers can determine locations where environmentally responsible travel to natural areas to enjoy and appreciate nature that promotes conservation have a low visitor impact and provide for beneficially active socioeconomic involvement of local individuals. Originality/value To the best knowledge of the authors, this is the first study which applies a GIS-based multi-criteria decision-making approach for ecotourism site selection.

Determining the Distribution of Coast Guard Vessels

A typical coast guard has complex responsibilities, subject to its multiple missions in maritime jurisdiction regions. These maritime jurisdiction regions can be partitioned into responsibility areas, and each type of coast guard vessel has a set of attributes for each responsibility area. The distribution of coast guard assets deployed in their respective areas of responsibility should be linked to the types of events occurring in these areas. The objective of this study is to determine the appropriate distribution of coast guard assets in various maritime zones; we do this by evaluating models that assign coast guard surface vessel types to missions in these maritime zones. We use the analytic network process model to compare various vessel types and determine the task-type weights for each vessel type. Weighted goal programming allows us to combine data, including the weights we derive from the use of other decision-aid tools. Our objective is to determine the best compromise solution for distributing coast guard assets into four main responsibility zones. The Turkish Coast Guard implemented the model in 2014, and decided to use it once a year prior to executing the main process in which it allocates coast guard assets.