Hesitant Fuzzy Analytic Hierarchy Process Research Articles

Ranking willingness to reuse water in cotton irrigation with hybrid MCDM methods: Soke plain case study

Soke Plain, located within the Büyük Menderes River Basin is one of the highest producers of cotton in Türkiye. The overall irrigation water supply is based on scarce conventional water resources that are being depleted at an increasing pace due to climate change impacts in B. Menderes. The inclusive objective of this research is to pave the way for a "water efficiency action plan" incorporating non-conventional (alternative) water resources for irrigation in Soke Plain to address adaptive management. Integrated Water Resources Management (IWRM) principles help decision makers (DMs) to identify and apply the most adequate alternatives among other possible ones in resource planning processes. Therefore, the preference ranking of DMs among possible water resource alternatives for irrigation is vital for implementation. This paper marks the first instance of using a multi-criteria decision-making (MCDM) method to evaluate both conventional and non-conventional water resource alternatives for cotton irrigation. The evaluation and ranking of water resource alternatives is processed using the hybrid MCDM method, integration of “Hesitant Fuzzy-Analytic Hierarchy Process” (HF-AHP) and “Hesitant Fuzzy Evaluation based on Distance from Average Solution” (HF-EDAS), namely HF-AHP-EDAS. This procedure implies several possibly contradictory qualitative and quantitative criteria, incorporates ambiguity, vagueness, and hesitancy in decision-makers’ decisions, and achieves a consistent, dependable ranking of alternatives. Eight different water resources for irrigation are evaluated by 5 experts, for 15 assessment criteria, in Soke Plain. Conventional water resources blended with drainage water is concluded to be the best irrigation water resource alternative, with HF-AHP-EDAS and also with HF-AHP-PROMETHEE II (Preference Ranking Organization Method for Enriching Evaluations II), that is used for comparison analysis. This choice aligns well with the outlined arguments, culminating in an overall result deemed compliant with the field survey.

Identifying the roles of energy and economic factors on environmental degradation in MINT economies: a hesitant fuzzy analytic hierarchy process.

Globally, research communities have been studying the different determinants of environmental degradation or pollution using different contexts and methods. In this study, we identify several energy and economic factors, such as energy consumption (EC), gross domestic product (GDP), energy production (EP), urbanization (URB), and foreign direct investment (FDI) as the most effective factors of environmental degradation by obtaining several environmental researchers' opinions and using the hesitant fuzzy analytic hierarchy process. In the later stage of the analysis, we use these variables as regressors of the ecological footprint (EF) as a proxy for environmental degradation. Since we find evidence of cross-sectional dependence among the members of the variables, we use second-generational panel tests. First, we test the stationarity of the variables using the cross-sectionally augmented IPS (CIPS) panel unit test. The results show that the regressors have different orders of integration. So, we employ the Durbin-Hausman panel cointegration test to test the existence of a long-run relationship between the variables. Having found a long-run relationship, we estimate the long-run coefficients using the common correlated effects mean group estimator, which reveals that energy consumption has an increasing effect on the EF in Indonesia and Turkey, while energy production has a negative impact in Mexico and Turkey. While GDP has an increasing effect in all countries, FDI has a similar effect in only Indonesia. Moreover, URB decreases the ecological footprint in Nigeria, while it increases in Turkey. Our approach to the evaluation of environmental degradation can be generalized to other regions as well as where there is a significant need to understand the roles of different drivers on environmental degradation or pollution.

Hesitant fuzzy for conflicting criteria in multi-objective deployment of electric vehicle charging stations

The penetration rate of electric vehicles is expected to experience continual growth. The expansion planning of charging stations includes conflicting interests in urban distribution systems. This paper addresses three different viewpoints from stakeholders, municipalities, and DSOs who may not easily agree on unanimous interests in infrastructure developments. A multi-objective optimization approach is suggested regarding profit, greenhouse gas (GHG) emission, and voltage profile. The vagueness and contradiction of experts’ opinions are taken into account. Multi-Criteria Decision Making (MCDM) techniques are employed to prioritize the candidates. Besides, uncertainties of price, load, and number of available electric vehicles are considered and the best solutions are selected using Crow Search Algorithm (CSA). Hesitant Fuzzy Independent Judgement (HFIJ), Analytic Hierarchy Process (AHP), and Hesitant Fuzzy AHP mechanisms are implemented to vote for the best expansion solution. IEEE 69-bus test system with modified loads along with the market data from Nordpool are considered in simulations. Sensitivity analysis is also provided to assess the solidity of MCDM. The results show that HFAHP makes more concrete and consistent assembly choices that even 30% variations in weighting coefficients cannot change the alternative rankings.

A Fuzzy Multi-Criteria Decision Making Methodology for Job Evaluation

Aims: In this study, the integrated methods Hesitant Fuzzy Analytic Hierarchy Process (HF-AHP), Fuzzy COmplex Proportional Assessment (F-COPRAS) and Fuzzy Technique for Order Performance to Ideal Solution (F-TOPSIS) were used for job evaluation studies in a food company. Background: There has been a decline in employee performance in the company. Unfair wages and unequal workload were identified as the reasons for the failure. Therefore, it has been observed that the staff turnover rate in the company is quite high. Objective: The objective is to determine a fair wage policy that will increase employee satisfaction by stratifying with job evaluation analysis between positions. Methods: The experts of Human Resources Department determined eight competency evaluation criteria for job evaluation studies in the proposed approach. Based on their judgments on these criteria, the competencies were rated using a linguistic scale and the weighting values were calculated using HF-AHP method. These values are inputs for the next stage. Employees were ranked using F-COPRAS and F-TOPSIS methods. Results: This study showed that the integrated method can be an effective alternative solution approach for calculating the weighting values and ranking of competencies in job evaluation studies. Conclusion: It has been shown that the use of the strata created as a result of this study is a great facilitator in determining employee pay policies.

Evaluation of irrigation methods in Söke Plain with HF-AHP-PROMETHEE II hybrid MCDM method

Söke Plain (Turkey) is one of the two plains where cotton production is the highest in Turkey, the leading country for cotton production in the Mediterranean Basin. The cropping pattern in Söke Plain is dominated by cotton with a ratio of 97%. The overall irrigation scheme is equipped with conventional systems (i.e., surface, furrow) whose efficiency is approximately 50% due to high evaporation and physical losses. Water efficiency improvement in cotton irrigation necessitates a thorough evaluation of the agricultural water management for Söke Plain, a water-scarce region under drought threat. In this paper, a hybrid multi-criteria decision making (MCDM) method is presented for the evaluation and selection of irrigation methods. This process involves various potentially conflicting qualitative and quantitative criteria, therefore, a hybrid MCDM method such as HF-AHP-PROMETHEE II is needed to make decisions. In HF-AHP-PROMETHEE II, “Hesitant Fuzzy Analytic Hierarchy Process” (HF-AHP) is first implemented to determine importance weights of criteria and then “Hesitant Fuzzy Preference Ranking Organization Method for Enriching Evaluations II” (HF-PROMETHEE II) is utilized to assess and rank the irrigation method alternatives. For comparison analysis, HF-AHP-TOPSIS (HF-AHP-Technique for Order Preference by Similarity to Ideal Solution) method is also implemented to the same problem. A case study is presented where five irrigation method alternatives in Söke Plain are assessed by five expert decision-makers (DMs), based on fifteen evaluation criteria. Sprinkler is found to be the first ranked irrigation method among five alternatives with both HF-AHP-PROMETHEE II and HF-AHP-TOPSIS resulting in the same ranking. The selection of this irrigation technique by the expert DMs is compliant with prevailing regional features related to hydrologic, climatic, environmental conditions and with regard to cotton, one of the highest water-consuming crops.

Evaluating the Impacts of Security-Durability Characteristic: Data Science Perspective

Security has always been a vital research topic since the birth of web application. A great deal of research has been conducted to determine the ways of identifying and classifying security issues or goals However, in the recent years, it has been noticed that high secure web applications have less durability; thus reducing their business continuity. High security features of a web application are worthless unless they provide effective services to the user and meet the standards of commercial viability. Hence, there is a need to bridge the gap between security and durability of the web application. Indeed, security mechanisms must be used to improve security as well as the durability of the web application. Although security and durability are not related directly, some of their attributes impact each other indirectly. Attributes play a key role in reducing the void between security and durability. In this respect, the present study identifies the main factors of security and durability that affect each other directly and indirectly, including confidentiality, integrity availability, human trust and trustworthiness. The importance of all the attributes in terms of their weight is essential for their impact on the overall security during the web application development process. To evaluate the efficacy of our work, we used the Hesitant Fuzzy Analytic Hierarchy Process (H-Fuzzy AHP). The results of our investigations and conclusions will be a useful reference for the web application developers in achieving a more secure and durable web application.

Determining Solar Power Plant Location Using Hesitant Fuzzy AHP Method

The fossil resource consumption, which is scarce for the solution of the increasing energy demand problem as the population increases, is replaced by the consumption of renewable energy resources. Solar energy from renewable energy sources is the type of energy with the highest potential on earth. The maximization of the efficiency to be taken from solar energy is possible with the correct selection of the location. The decision to decide on more than one criterion for multiple alternatives is a very difficult problem. Therefore, the problem of choosing a solar power plant is a complex decision problem, and this study aims to solve the problem of the most appropriate location for the Solar Power Plant by using Hesitant Fuzzy AHP. Based on linguistic expressions of three different decision makers, the three alternative locations were evaluated by considering four different evaluation criteria.

Multi-dimensional Sustainability Evaluation of Indigo Rope Dyeing with a life cycle approach and hesitant fuzzy analytic hierarchy process

The dyeing process of denim fabric production has the highest potential for significant environmental and human health impacts of denim production, consuming vast amounts of water, chemicals, and dyes. This study aims to assess the sustainability of indigo rope dyeing (IRD) obtained by designing a new recipe with the chemical alternative assessment method. Not only environmental impacts, but also social, economic, and product quality dimensions were included in the multidimensional sustainability assessment. The hesitant fuzzy analytical hierarchy process (HF-AHP) method was used to determine the criteria weights of the determined dimensions. The environmental and social impacts of the existing and newly designed IRD process were evaluated using the gate-to-gate life cycle assessment (LCA) and social life cycle assessment (S-LCA) approach. According to the LCA results, the green IRD process exhibited better performance in terms of all environmental impacts evaluated and the abiotic depletion potential of the conventional indigo IRD process can be reduced by 62.55% by applying the green IRD process. According to the HF-AHP results, the most important criteria were environmental impact with 33%, followed by social impacts with 27%, quality results with 23%, and economic results with 17% in assessing the IRD process's sustainability denim production. These results showed that the sustainability of the IRD process could be improved by substituting the chemicals and dyestuff with green alternatives.

Evaluation of the COVID-19 Pandemic Intervention Strategies with Hesitant F-AHP.

In this study, a hesitant fuzzy AHP method is presented to help decision makers (DMs), especially policymakers, governors, and physicians, evaluate the importance of intervention strategy alternatives applied by various countries for the COVID-19 pandemic. In this research, a hesitant fuzzy multicriteria decision making (MCDM) method, hesitant fuzzy Analytic Hierarchy Process (hesitant F-AHP), is implemented to make pairwise comparison of COVID-19 country-level intervention strategies applied by various countries and determine relative importance scores. An illustrative study is presented where fifteen intervention strategies applied by various countries in the world during the COVID-19 pandemic are evaluated by seven physicians (a professor of infectious diseases and clinical microbiology, an infectious disease physician, a clinical microbiology physician, two internal medicine physicians, an anesthesiology and reanimation physician, and a family physician) in Turkey who act as DMs in the process.

Efficiency and performance analysis of economics research using hesitant fuzzy AHP and OCRA methods

Countries allocate some of their GDP as research and development shares for the sustainability of R&D activities. From time to time, it was aimed to measure how effectively these allocated shares are used by different disciplines. In this study, the efficiency and performance of economics researches in 15 OECD member countries is ranked and evaluated by using bibliometric elements for the period of 2010–2017. 7 different criteria, which are thought to affect the efficiency and performance of economics research, have been determined. By taking the opinions of 5 different experts, criterion weights were calculated with Hesitant Fuzzy Analytic Hierarchy Process (Hesitant Fuzzy AHP) method and sequences were obtained by Operational Competitiveness Rating Analysis Method method. The top five countries with the highest performance are England, Germany, Italy, Australia and France and the lowest is Hungary. The results show that if the economics research performance is high in a country, the number of documents indexed in Web of Science, the number of citations and the percentage of documents cited are also high, and the quality of the produced scientific output is also independent of the number of researchers and the allocated research budgets.

Occupational health and safety risk assessment in the domain of Industry 4.0

The objectives of this study were three-fold: (i) to investigate new occupational health and safety risks that may arise with the integration of Industry 4.0 in production environments; (ii) to identify and group these risks into various categories; and (iii) to prioritize these groups. With this prioritization, a number of recommendations will be made to take into account new risk groups that may arise during the reorganizing of production environments according to Industry 4.0. This study used the Hesitant Fuzzy Analytic Hierarchy Process prioritization approach to determine the ranking of risks, which arose with the use of Industry 4.0. In this paper, possible occupational health and safety risks of the selected method consisted of eye-related disorders, mental fatigue, disorders stemming from the static working position, exposure to unknown dangerous particles as a result of cooperation with robots, and psychological pressure (stemming from the problems of adaptation to duties that require creativity). According to the results, the two most important risk factors were mental fatigue and psychological pressure. Mental fatigue as the principal risk factor was not unexpected owing to the many encounters between humans and machines. However, with respect to psychological pressure, we were unable interpret the results in the same way as the mental fatigue case. Psychological pressure is a complicated problem, and a more in-depth and detailed investigation is needed.

Multi-criteria evaluation of energy storage technologies based on hesitant fuzzy information: A case study for Turkey

Energy storage technologies (ESTs) enable to cope with intermittency of energy sources by storing excess energy to use when it is needed. Therefore, evaluation of energy storage alternatives (or technologies) is completely critical and can be exactly considered as a multi-criteria decision making (MCDM) problem. It is clear that we have to evaluate this problem in terms of both qualitative and quantitative criteria. We should also take into account decision makers’ linguistic evaluations and their experiences. At this point, the fuzzy set theory (FST) that is an effective tool to utilize from human judgments and linguistic evaluations in the decision making process can be successfully used. Hesitant fuzzy sets (HFSs) that enable to have several membership values between 0 and 1 for an element of the set can be used for this aim as an extension of ordinary fuzzy sets. In this paper, an integrated MCDM model consists of Delphi, Analytic Hierarchy Process (AHP) and VIsekriterijumska Optimizcija I Kompromisno Resenje (VIKOR) methods has been proposed to evaluate EST alternatives for Turkey under hesitant fuzzy environment. For this aim, a hierarchical decision model consisting of four main criteria and nineteen sub-criteria with nine EST alternatives has been constructed. While hesitant fuzzy AHP (HF-AHP) method has been utilized to determine weights of criteria, the alternatives have been ranked by using hesitant fuzzy VIKOR (HF-VIKOR) method. A sensitivity analysis based on change of some parameters has been also performed to analyze the obtained results and to demonstrate sensitiveness of the proposed MCDM model. A comparative analysis has been also realized to confirm the validity of the proposed fuzzy based methodology. For this aim, hesitant fuzzy Technique for Order Preference by Similarity to Ideal Solution (HF-TOPSIS) method has been applied as another distance-based methodology. One of the obtained results of this study is that the criteria economic and technical have been determined as the most and the least important main criteria and the weights of them have been achieved as 0.342 and 0.203, respectively. Additionally, the alternative EST named “Compressed Air” has been determined as the most suitable energy storage technology alternative for Turkey.

Evaluation of positive employee experience using hesitant fuzzy analytic hierarchy process

Evaluation of positive employee experience using hesitant fuzzy analytic hierarchy process

Classical, fuzzy, hesitant fuzzy and intuitionistic fuzzy analytic hierarchy processes applied to industrial maintenance management

A multi-criteria problem involves the consideration of two or more criteria in the prioritization of alternative solutions. The Analytic Hierarchy Process (AHP) is a leading multi-criteria method. Consistency checking is a great advantage of AHP. Since in AHP priorities come from pairwise compariso ns, it is possible to check the consistency of these comparisons. However, a problem occurs when comparisons fail the consistency check. Then, the excluding options are to review some comparisons (Option 1) or to keep the comparisons (Option 2). This paper presents an AHP application in the maintenance management of an industrial plant. Industrial maintenance is not in the core business of an organization. However, maintenance costs can account over 50% of production costs. One of the first maintenance management decisions is on the maintenance strategy. Shall maintenance anticipate the occurrence of failure? Or shall maintenance be performed after an equipment breakdown? Answering those questions with classical AHP resulted in inconsistent comparison matrices. In that case, Fuzzy AHP (FAHP) were applied, avoiding this situation. Therefore, the purpose of this paper is to present the applications of four AHP models: Classical AHP and three models of FAHP, including hesitant fuzzy sets and intuitionistic fuzzy sets. The application of Hesitant FAHP (HFAHP) and Intuitionistic FAHP (IFAHP) are the novelty of this paper. The four AHP models were also applied in the same case of maintenance management of an industrial plant. Results were very similar, but experts could express their preferred model.

Supplier Evaluation with Hesitant Fuzzy Analytic Hierarchy Process in Bearing Sector and Consistency Analysis

Abstract The bearing sector has a demand for high precision and expensive machine tools. To ensure product quality and reduction of operating costs, the manufacturers in this sector should develop an appropriate supplier evaluation mechanism for the bearings. Therefore, this study presents a Hesitant Fuzzy Analytic Hierarchy Process (HF-AHP) technique for the evaluation of suppliers. HF-AHP, which is an extension of the well-known Fuzzy AHP (F-AHP), allows more space to decision makers while they are performing pairwise comparisons in hesitant situations. This article also introduces a consistency analysis technique for the preferences. This technique firstly sorts out the hesitancy and then deals with fuzzy comparisons. In addition, to demonstrate the applicability of the proposed approach, a case study is presented as a numerical example in the bearing industry. The results of this application are compared with the results of the same case that was previously handled with the traditional F-AHP method in the literature. Finally, sensitivity analysis, which is performed to check the robustness of the decision, investigates the effects of changes in criteria weights.

An intelligent approach for the evaluation of transformers in a power distribution project

In this study, a hybrid approach is presented for the evaluation and selection of transformers in a power distribution project. Ranking transformers and selecting the best among alternatives is a complex multiple criteria decision making (MCDM) problem with various possibly conflicting quantitative and qualitative criteria. In this research, two hesitant fuzzy MCDM methods; hesitant fuzzy Analytic Hierarchy Process (hesitant F-AHP) and hesitant fuzzy Preference Ranking Organization Method for Enriching Evaluations II (hesitant F-PROMETHEE II) are combined to evaluate and rank transformers. In the hesitant fuzzy AHP-PROMETHEE II, hesitant F-AHP is implemented to determine criteria weights and hesitant F-PROMETHEE II is applied to rank transformer alternatives, utilizing obtained criteria weights. An illustrative example is presented to demonstrate the effectiveness and applicability of the proposed approach. In the example, five transformers are evaluated based on twelve criteria by three decision makers (DMs) and best alternative is selected. For comparison analysis, integration of hesitant F-AHP and hesitant fuzzy Technique for Order Preference by Similarity to Ideal Solution (hesitant F-TOPSIS) is used and results are compared.

Evaluating the websites of academic departments through SEO criteria: a hesitant fuzzy linguistic MCDM approach

Search Engine Optimization (SEO) is the process of managing web content in a manner that elevates page rankings in search engines. Among other sectors, academic world is one of the number-one categories for search based on the percentage of web traffic generated through search engine referrals. However, SEO includes a number of factors grouped into two as ‘on page’ and ‘off page.’ To obtain maximum benefit from SEO, relevant factors/criteria should be considered using multi-criteria decision making (MCDM) methods. The focus of this paper is to consider SEO criteria evaluation as a MCDM problem in which the criteria are in different priority levels and the criteria values take the form of hesitant fuzzy linguistic term sets to facilitate the elicitation of information in hesitate situations. A three-step solution approach is developed: (i) determination of 21 SEO criteria, such as page loading time, page size and meta-keyword (ii) prioritizing the criteria using hesitant fuzzy analytic hierarchy process, and (iii) ranking 70 Turkish websites of the industrial engineering departments using Technique for Order Preference by Similarity to Ideal Solution. The results show that trust flow and XML sitemap are the determinant criteria among others. Using the proposed method, web designers can approach SEO from weighted criteria perspective.

Sustainability analysis of different hydrogen production options using hesitant fuzzy AHP

Hydrogen is seen as the key component of energy systems for a sustainable future. In the literature, there has been extensive efforts on making hydrogen energy systems more sustainable. True sustainability of such systems requires hydrogen to be produced in clean, reliable, affordable, and safe manners without harming neither the environment nor the societies. In the literature, there is a lack of studies focusing on a complete technical, environmental, social, and economic evaluation of hydrogen production systems by taking availability and reliability into account. Therefore, the primary aim of this study is to provide a comprehensive review and investigation on sustainability of hydrogen production systems, which could potentially guide researchers, policy makers, different industries, and energy market customers. The selected hydrogen production methods are grid electrolysis (electricity from fossil fuels), wind electrolysis, PV electrolysis, nuclear thermochemical water splitting cycles, solar thermochemical water splitting cycles and photoelectrochemical cells. To deal with the ambiguity and vagueness in the evaluation process, and to overcome the observed hesitancy in decision makers’ preferences, a novel approach, hesitant fuzzy AHP, is used to evaluate sustainability of the selected hydrogen production methods. In the proposed model, five criteria; economic performance (initial cost and running cost), environmental performance (GHG emissions, land use, water discharge quality, and solid waste), social performance (impact on public health, employment and training opportunities, and public acceptance), technical performance (energy and exergy efficiencies, process control, and raw material input), and availability/reliability (dependence on imported resources, predictability, and scalability) are taken into account. The results show that grid electrolysis is expected to hold the key of sustainable hydrogen production in the near future while the technologies of other methods advance and their associated costs decrease.

CNC router selection for SMEs in woodwork manufacturing using hesitant fuzzy AHP method

PurposeDespite being a low-tech industry, woodwork manufacturing industry that includes furniture and cabinet making, witnessed technological leaps in production technologies due to technical developments in computer numerical control (CNC) machining processes. The managers of this industry have attached high importance to the selection of efficient machines as their decisions directly affect the quality and performance of products produced by the firms. Improper selection process can result in a significant decrease in productivity and flexibility. Therefore, a systematic decision-making procedure is needed to prevent inaccurate investments on machines. The purpose of this paper is to purpose a hesitant fuzzy analytic hierarchy process (HFAHP) based multi-criteria decision making (MCDM) system for CNC router selection in small- and medium-sized enterprises (SMEs) in woodwork manufacturing.Design/methodology/approachThe study proposes a hierarchical model consisting of 4 main criteria and 11sub-criteria for woodwork manufacturing. Technical, personnel, economic and vendor aspects constitute the main criteria. Because of the hierarchical structure of the model, HFAHP is utilized to define the importance weights of the criteria, and to select the most appropriate CNC alternative for a manufacturing company under focus. In a selection procedure, the judgments of decision makers may have vagueness to specify the importance of criteria affecting the decision process. In the literature, the fuzzy set theory has been utilized to deal with such uncertainties. However, when the ideas of the managers have high potential to fall into contradiction in pairwise comparisons, a novel approach is needed to overcome the obstacles. HFAHP allows the membership degree having a set of possible values. It is specifically useful in compromised decisions where experts cannot agree on a single value and prefer to come up with an interval of linguistic variables.FindingsIt is revealed that for SMEs in woodwork manufacturing, the most important criterion in selecting the CNC routers is the technical aspects. It may seem counter intuitive that they do not refrain finding the technical criteria superior to the economic aspects, even though they have limited budgets compared to large-scale firms. This demonstrates that in current competitive environment, SMEs understand the need for high-quality production strategy. The weights of the remaining two criteria (personnel and vendor aspects) are relatively low because they expect that they can easily overcome the problem of adapting the workers by training, and all vendors have quality standard qualifications so they can offer a satisfactory service and supplementary systems.Practical implicationsThe ready-to-use model proposed is specialized for SMEs in woodwork manufacturing. However, to make it an easily adaptable model for every company in the woodwork industry regardless of its size, the calculation process of the priority weights is illustrated in detail with a numerical example. Any company can follow the process using their own preferences to end up with a specific model that will perfectly reflect their own specific priorities. For demonstrating the application of the model, a case study is conducted in a woodwork manufacturing SME to select the best CNC router among three alternatives.Originality/valueThe originality and value of the paper is twofold. First, to the best of our knowledge, this is the first study that proposes a woodworking-specific CNC router selection for SMEs. Second, to handle the high uncertainty in the judgements, and to facilitate consensus among the experts during face to face meetings to develop compromised matrices, a very recently developed method, HFAHP is used.

An Integrated Hesitant Fuzzy AHP and TOPSIS Approach for Selecting Summer Sport School

Y az spor okullari ozellikle ilk ve ortaogrenime devam eden cocuklar icin orgun ogretim sezonu bittikten sonra hem vakitlerini eglenceli bir sekilde degerlendirebildikleri hem de yeni seyler ogrenebildikleri bir alternatif olarak gunumuzde onem kazanmaktadir. Bu yonde fazlalasan talep neticesinde sayica artan yaz spor okullarindan en iyisini secmek, bir karar verme problemi haline gelmektedir. Dolayisiyla bu makalede, bu yeni calisma alanindaki probleme analitik bir cozum onerisi sunulmaktadir. Onerilen yaklasimda literaturde yakin zamanlarda sikca kullanilmaya baslanan Tereddutlu-Bulanik AHP (HF-AHP), TOPSIS teknigi ile entegre edilmistir. Onerilen bu modelin, verilen uygulama orneginde 4 ana ve 15 alt secim kriterinin onem dereceleri HF-AHP ile belirlenmekte, 3 alternatif arasindan en iyi yaz spor okulu TOPSIS metodu ile secilmektedir. Ayrica yapilan duyarlilik analizi ile verilen kararin kriter agirliklarina hassasiyeti de degerlendirilmektedir.