Fuzzy VIKOR Research Articles

PERSONEL SEÇİMİ İÇİN SEZGİSEL BULANIK SAYI TEMELLİ GRUP KARAR VERME YAKLAŞIMI

The most appropriate personnel selection is a very important issue for an organization’s success due to the increasing competition in global market. Traditionally, Saaty’s consistency method is used to check the consistency of the experts’ judgments in personnel selection problem and the inconsistency judgments can be sent to return to the experts for reevaluation, which is time consuming and sometimes undesired by experts, or can be extracted from decision making process. A perfect multiplicative consistent intuitionistic preference relation (IPR) will be repaired the inconsistent IPRs of the experts into a consistent one automatically. There is no paper about personnel selection using integrated intuitionistic fuzzy analytic hierarchy process method (IFAHP)-IFVIKOR (intuitionistic fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje) approach under group decision making with perfect multiplicative consistent IPR. This paper presents an integrated multi-criteria decision making method for personnel selection with perfect multiplicative consistent IPR under intuitionistic fuzzy environment. Priority value of criteria has been defined by utilizing IFAHP method and the most appropriate personnel among candidates has been found by utilizing intuitionistic fuzzy VIKOR. The application of personnel selection is conducted to illustrate the effectiveness of the proposed method in a logistic firm. The personel selection is realized according to a questionnaire responded by three experts in human resources management area. Five criteria for personel selection are defined through literature review and the judgments of expert team. K1 (self-confidence) is defined as the most important criteria for personnel selection of the specified logistic firm by using IFAHP. Alt 3 is defined as the most suitable personnel for the specified logistic firm by using IFVIKOR.

AHP\u2013TOPSIS integration extended with Pythagorean fuzzy sets for information security risk analysis

Risk analysis (RA) contains several methodologies that object to ensure the protection and safety of occupational stakeholders. Multi attribute decision-making (MADM) is one of the most important RA methodologies that is applied to several areas from manufacturing to information technology. With the widespread use of computer networks and the Internet, information security has become very important. Information security is vital as institutions are mostly dependent on information, technology, and systems. This requires a comprehensive and effective implementation of information security RA. Analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) are commonly used MADM methods and recently used for RA. In this study, a new RA methodology is proposed based on AHP–TOPSIS integration extended with Pythagorean fuzzy sets. AHP strengthened by interval-valued Pythagorean fuzzy numbers is used to weigh risk parameters with expert judgment. Then, TOPSIS with Pythagorean fuzzy numbers is used to prioritize previously identified risks. A comparison of the proposed approach with three approaches (classical RA method, Pythagorean fuzzy VIKOR and Pythagorean fuzzy MOORA) is also provided. To illustrate the feasibility and practicality of the proposed approach, a case study for information security RA in corrugated cardboard sector is executed.

Collaborative elicitation to select a sustainable biogas desulfurization technique for landfills

The 2015 Paris Agreement within the United Nations Framework Convention on Climate Change establishes three key ways for the reduction of the emissions of Greenhouse Effect Gases: mitigation, adaptation and resilience of ecosystems. In this context, one of the major goals for methane recovery from waste is the process of obtaining biogas from biomass or waste, a form of fuel with zero impact on the carbon footprint of the planet. All possible uses of biogas depend mainly on the degree of purification obtained. The removal of hydrogen sulfide (H2S) is the main weakness in using biogas in industrial applications. If the use of biogas is intended for engines, turbines or to enrich the biogas to obtain natural gas, lowering the levels of H2S will be necessary, in order to avoid corrosion in gas lines and in engines. Biogas desulfurization can be achieved through different techniques: physical, chemical, biological or hybrid procedures. Selecting the most sustainable technique to clean biogas entails a complex problem, which involves the analysis of these desulfurization treatments under different criteria. In this paper, we present a novel collaborative elicitation to select the consensus procedure for the reduction of the concentration of H2S in biogases from landfills. The elicitation technique is based on fuzzy set theory and VIKOR method in order to handle intangible data and to avoid potential bias by the panelists. The proposed hybrid method guarantees traceability and transparency to achieve consensus among the panel of experts during the decision making procedure.

Interval-valued intuitionistic hesitant fuzzy entropy based VIKOR method for industrial robots selection

In this paper, we proposed interval valued intuitionistic hesitant fuzzy entropy for determine the importance of the criteria and interval valued intuitionistic hesitant fuzzy VIKOR method for ranking the alternatives. Industrial Robots are utilized to perform complicated and hazardous tasks accurately and also used to enhance the quality and efficiency of the work. Selecting an industrial robot for performing a particular task depends on the work and the associated criteria of the robot. The materials handled by the robots are different like powdered, adhesive, bulky, brittle etc. In this manner, choosing a suitable robot from the set of available industrial robots to handle a particular material is a challenging task. To get a more conscionable decision result, a decision organization contains a lot of decision makers. The interval- valued intuitionistic hesitant fuzzy set is utilized as a competent mathematical tool for enunciate individuals hesitant thinking. An interval- valued intuitionistic hesitant fuzzy set (IVIHFS) concedes a set of several possible interval- valued intuitionistic fuzzy membership and non- membership values. Finally, the proposed interval- valued intuitionistic hesitant fuzzy entropy and VIKOR techniques utilized for industrial robot selection.

Equipment selection based on two different fuzzy multi criteria decision making methods: Fuzzy TOPSIS and fuzzy VIKOR

AbstractDeciding on equipment from a set of feasible alternatives for excavation purpose in open pit mines is a critical task for the engineers and contractors since it considerably affects the project costs and productivity. Alternatives of rock excavation equipment, which are deemed suitable for the diggability of rock units in open pits, can have many technical specifications or factors that should be considered simultaneously. It can be successfully selected in a scientific way by employing multi-criteria decision making methods by means of taking the advantage of engineering knowledge, intuition and past experiences. In this study, we select the most convenient hydraulic excavator for a magnesite mine by fuzzy multi criteria decision making methods: fuzzy TOPSIS and fuzzy VIKOR. The fuzzy approach allows the experienced engineers to compare the multiple criteria (technical factors) and the possible alternatives of rock excavation machines by simply using linguistic expressions in their natural language.

Enhancing multiple attribute group decision making flexibility based on information fusion technique and hesitant Pythagorean fuzzy sets

Abstract The aim of this paper is to develop some novel hesitant Pythagorean fuzzy sets (HPFSs) based methods in enhancing fuzzy related problems flexibility. In view of the effectiveness of hesitant fuzzy sets (HFSs) for expressing the hesitant situation, and the powerfulness of Pythagorean fuzzy sets (PFSs) in handling vagueness and uncertainty, we combine the best aspects of HFSs and PFSs and consider a new concept called the HPFSs. Firstly, some existing basic properties and operators are extended and improved in detail. For the sake of application, considering the deficiencies of pessimistic-optimistic normalization principles in dealing with hesitant fuzzy related sets, on the basis of lowest common multiple principle in number theory, an improved normalization algorithm is proposed to reserve the fidelity of original information. Then, a flexible and multipurpose generalized distance measure for HPFSs is presented. Further, under the HPFSs environment, a multiple attribute group decision making method based on the extended hesitant Pythagorean fuzzy VIKOR is presented. Three numerical examples, one from the bidirectional approximate reasoning system and other from the medical diagnosis and selection model of health management center, are presented to elaborate on the performance of our approach and compared their results with the several existing approaches results.

Ranking Academic Performance Using Fuzzy Vikor: A Case of Secondary Schools At Perlis

Ranking is the process of structuring alternatives in order of priority. It is based on the criteria determined for each alternative involved. In this study, the researcher analyzed the percentage of candidates who scored in the 2016 Malaysia secondary school national examination, Sijil Pelajaran Malaysia (SPM), in the state of Perlis. The schools represent an alternative, while the examination subjects as the criterion. The study used fuzzy VIKOR method to determine the priority rank for the performance of five schools. Fuzzy VIKOR method evaluates the criteria and compose composite index of each alternative for the purpose of arranging them in order of preference alternatives. The result showed that fuzzy VIKOR method is able to rank the data more fair and accurate than other conventional methods such as TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) and PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluations). By using the proposed approach, the ambiguity involved in the evaluation data can be effectively represented and processed to assure a more effective evaluation process. The accurate ranking of schools might benefit the Education Ministry at the district level as more resources could be provided to the least performed school.

Supplier Selection with Fuzzy TOPSIS and VIKOR Method in a Trailer Manufacturing Company

The supplier decision has become a strategic decision for companies to achieve competitive advantage due to growth and increased competition, technology and reduced profit margins. The right choice of the supplier is one of the most important elements that will ensure the production and distribution of the products with the desired quality, flexibility, lower cost and high speed. There may be complexity and uncertainty in supplier selection decision as it includes many factors and multiple decision makers. For this purpose, the right supplier to be cooperated has been decided by using fuzzy TOPSIS and VIKOR methods in Microsoft Visual Basic by evaluating existing suppliers in a trailer factory operating in Turkey.

A new fuzzy methodology-based structured framework for RAM and risk analysis

The aim of this paper is to propose a new hybridized framework for analyzing the performance issues of a chemical process plant by utilizing uncertain, imprecise and vague information. In the proposed framework, Fuzzy Lambda–Tau (FLT) approach has been used for computing reliability, availability and maintainability (RAM) parameters of the considered system. Further, for enhancing the RAM characteristics of the system, improved Fuzzy Failure Mode Effect Analysis (FMEA) approach is adopted. Under improved Fuzzy FMEA approach, defined Fuzzy linguistic rating values in the form of triangular and trapezoidal Fuzzy numbers have been assigned by the experts to each risk factor of the listed failure causes. The proposed framework is demonstrated with an industrial application in a chlorine production plant of a chemical process industry. The results show decreasing trend for system availability and deposition of solid Nacl, mechanical failure, corrosion due to wet chlorine, scanty lubrication, improper adsorption and valve malfunctioning are identified as the most critical failure causes for the considered system. A comparative performance analysis between the proposed framework, Fuzzy technique for order of preference by similarity to ideal solution (Fuzzy TOPSIS), Fuzzy evaluation based on distance from average solution (Fuzzy EDAS) and Fuzzy Vlse Kriterijumska Optimizacija I Kompromisno Resenje (Fuzzy VIKOR) are then carried out to show the competence of the proposed framework. It is expected that the analytical results would be highly useful in formulating an optimal maintenance policy for such complex systems and may also be used for improving performance of similar plants.

Failure modes and effects analysis for CO2 transmission pipelines using a hesitant fuzzy VIKOR method

Carbon capture, utilization, and storage (CCUS) is now considered to be one of the main technological options to reduce greenhouse gas emissions. It seems that pipeline transmission is an effective way to transport the large amount of CO2 from the capture site to the storage site over long distance for most CCUS projects. Therefore, risk assessment of CO2 transmission pipelines has been an important aspect for successful development of the CCUS industry in the future. Failure mode and effects analysis (FMEA) is a group-based activity to prioritize risk. A group multi-criteria decision-making approach based on combined weights and the hesitant fuzzy VIKOR (vlsekriterijumska optimizacija i kompromisno resenje in Serbian, meaning “multi-criteria optimization and compromise solution”) method is proposed to evaluate the risk of CO2 transmission pipelines. First, a pair-wise comparison matrix for risk factors is constructed according to the evaluation information given by the FMEA team members, and a fuzzy analytic hierarchy process is used to determine the subjective weight vector of these risk factors. The maximizing deviation method is used to determine the objective weights of risk factors. Then, to select the most serious failure modes for CO2 transmission pipelines, the hesitant fuzzy VIKOR method is used to prioritize the potential failure modes that have been identified by the FMEA team members. Finally, a numerical example for risk assessment is given to illustrate the effectiveness and rationality of the proposed method.

Ranking renewable energy production methods based on economic and environmental criteria using multi-criteria decision analysis

These days, the excessive industrialization, elevated levels of pollution, and increased energy crisis have led nations towards the use of renewable energy sources. Moving towards renewable energy not only helps in reducing our dependence on fossil fuels but also aids in eliminating increased levels of pollution. Through the use of renewable energy sources, global warming can also be decreased which is currently the biggest environmental issue worldwide. This reduction in global warming will result in a guaranteed sustainable future. Renewable energy, despite being expensive, contributes to the national economy in the longer run. Moreover, renewable energy sources help in the elimination of load shedding, having a positive impact on quality of life. This research tends to acknowledge the significance of renewable energy by considering several factors. These include investment, operations and management costs, the capacity of energy production, and environmental impacts. This paper employs Fuzzy VIKOR and Fuzzy TOPSIS methods. It ranks different renewable energy alternatives on the bases of different criteria such as installation cost, operations, and maintenance cost, area required, the importance of location, return on investment, payback period, and efficiency. The outcomes of this research suggested that continued reliance on exhaustible sources of energy has negative impacts on environment, economy, and quality of life. Through this research, an energy policy will be formulated, which will not only lead us towards finding solutions to the above-stated problems but also ensure sustainable and viable future for generations to come.

An Extended VIKOR Method for Multiple Criteria Group Decision Making with Triangular Fuzzy Neutrosophic Numbers

In this article, we combine the original VIKOR model with a triangular fuzzy neutrosophic set to propose the triangular fuzzy neutrosophic VIKOR method. In the extended method, we use the triangular fuzzy neutrosophic numbers (TFNNs) to present the criteria values in multiple criteria group decision making (MCGDM) problems. Firstly, we summarily introduce the fundamental concepts, operation formulas and distance calculating method of TFNNs. Then we review some aggregation operators of TFNNs. Thereafter, we extend the original VIKOR model to the triangular fuzzy neutrosophic environment and introduce the calculating steps of the TFNNs VIKOR method, our proposed method which is more reasonable and scientific for considering the conflicting criteria. Furthermore, a numerical example for potential evaluation of emerging technology commercialization is presented to illustrate the new method, and some comparisons are also conducted to further illustrate advantages of the new method.

A VIKOR based approach for assessing the social, environmental and economic effects of “smog” on human health

Nowadays, the excessive industrialization, increased use of fossil fuels, elevated levels of vehicular emissions are causing high level of air pollution reaching epidemic levels. The effects of “smog” or in other words of air pollution can be very dangerous for humans, and plants. In fact, air pollution can be linked to many health-related issues, as it is one of the leading causes of pulmonary, respiratory and skin diseases across the globe. In this context, Pakistan being an underdeveloped country, faces the hazardous impacts of smog on health, environment, transportation and educational sectors. The aim of the present research was to establish a correlation between smog/air pollution (the independent variable) and different dependent variables. The final goal was to define different precautionary measures and find their practicality and selection. Fuzzy VIKOR, a multi-criteria decision-making tool, was proposed in this research. It was applied to select an optimal alternative based on closeness to positive-ideal solution and deviation from the negative-ideal solution. Through this research, an environmental-friendly and health-promoting policy can be reach. This research will also help government in making future policies regarding environmental and industrial pollution. A case study settled in Pakistan was used to demonstrate the effectiveness of the proposed fuzzy model.

HHI-based evaluation of the European banking sector using an integrated fuzzy approach

PurposeThis paper aims to evaluate the market concentration and competition in the European Banking Sector using an integrated multi-criteria decision-making approach under the fuzzy environment.Design/methodology/approachThe hybrid model combining fuzzy decision-making trial and evaluation laboratory (DEMATEL), fuzzy analytic network process (ANP) and fuzzy VIKOR methods is applied to measure the market competition and concentration in the European Banking Sector. For this purpose, two academicians and one expert from banking sector with at least five-year experiences are selected to evaluate the dimensions, criteria and alternatives. The academicians are also appointed to define the decision-making problem and determine the dimensions and the criteria on the basis of related literature. The implementation of the model has been constructed in three main phases. The first phase consists of the fuzzy DEMATEL technique for understanding the impact-relation map among the dimensions. The second phase includes the fuzzy ANP method for measuring the relative importance of the criteria. The last phase comprises the fuzzy VIKOR approach to rank the alternatives with the values of the Herfindahl–Hirschman Index (HHI).FindingsTurkey, France, England and Germany are placed in the competitive market structure of the European Banking Sector respectively. Additionally, the comparative results of the study confirm the market shares and the competitive policies of the European and Turkish Banking Sector.Originality/valueThe novelty of the paper is to construct a hybrid multi-criteria decision-making model with the proposed HHI scales under the fuzzy environment and defined competition dimensions and criteria based on the literature for the European Banking Industry.

A novel hybrid fuzzy DEA-Fuzzy MADM method for airlines safety evaluation

Safety is a critical element in the air transport industry. Although fatal air accidents are rare compared to other transport industries, the rapid growth in air travel demands has resulted in a growing aviation risk exposure and new challenges in the aviation sector. Although the issue of airline safety is of serious public concern, notably few studies have investigated the safety efficiency of airlines. This paper aims to propose a novel hybrid method using fuzzy data envelopment analysis (DEA) and fuzzy multi-attribute decision making (F-MADM) for ranking the airlines' safety. In this study, fuzzy DEA is utilized to calculate criteria weights, in contrast to the conventional approach of using DEA for measuring the efficiency of alternatives. A ranking of each airline (DMU) on the basis of obtained weights is then assessed using MADM methods. Six MADM methods including Fuzzy SAW, Fuzzy TOPSIS, Fuzzy VIKOR, ARAS-F, COPRAS-F and Fuzzy MULTIMOORA are implemented to rank the alternatives, and finally, the results are compounded with the utility interval technique. This new hybrid method can efficiently overcome the pitfalls of traditional hybrid DEA-MADM models. The method proposed in this study is used to evaluate the safety levels of seven Iranian airlines and to select the safest one.

The Application of Fuzzy VIKOR for the Design Scheme Selection in Lean Management

Given that using the same evaluation criteria in group decision making (GDM) may cause solution bias, this research proposes the decision making model using improved fuzzy VIKOR and takes the lean management design scheme selection process in a real estate company as an example to study the way of decision making. Research results are as follows: (1) improved fuzzy VIKOR allows different decision makers to evaluate all schemes with respect to different evaluation criteria systems and, based on this, this research proposes a decision making model which can effectively avoid making decision using the same criteria system; (2) this decision making model is very scientific, as it is not sensitive to the coefficient of selection mechanism, the weight of decision maker, and the weight of evaluation criterion, so the decision results are very stable; (3) the decision making model proposed in this research can effectively obtain the optimal result and avoid suboptimal solution.

Analyzing the Global Risks for the Financial Crisis after the Great Depression Using Comparative Hybrid Hesitant Fuzzy Decision-Making Models: Policy Recommendations for Sustainable Economic Growth

The aim of this study is to analyze the effects of global risks on financial crises. For this purpose, five different outstanding crises after the Great Depression of 1929 are taken into the consideration. Additionally, four different dimensions are selected regarding global risk by considering the Global Risk Report. Moreover, the hesitant fuzzy DEMATEL, the hesitant fuzzy VIKOR, and the hesitant fuzzy TOPSIS methodologies are used to reach this objective. We concluded that, with respect to global risks, the industry-based dimension has the highest importance in comparison to other dimensions. In addition, we also identified that the 2010 European debt crisis and the 1982 Latin American debt crisis were the most influenced crises in terms of global risk. The main reason for this is that the macroeconomic problems such as high inflation and unemployment had negative impacts on the industries of these countries. Another important point is that the results of the hesitant fuzzy VIKOR and hesitant fuzzy TOPSIS models are quite different, but they are the most similar when the experts do not reach the consensus. This situation shows that this analysis is quite appropriate with respect to the hesitant approach. While considering these aspects, we recommended that countries should firstly focus on the solutions related to industry level problems in order to minimize the global risk. Owing to this issue, it can be more possible to reach sustainable economic growth in the world.

Software Safety Analysis with UML-Based SRBD and Fuzzy VIKOR- Based FMEA

Software often controls the behavior of mechanical and electrical systems, as well as interactions among their components in cyber-physical systems (CPS). The risks in CPS systems could result in losing tools, features, performance, and even life. Therefore, safety analysis for software in these systems is a highly critical and serious issue. The use of reliability block diagram is a method for checking the safety and reliability of systems. A reliability block diagram is a diagrammatic method for showing how component reliability contributes to the success or failure of a complex system. In this paper, a method for generating RBDs is presented analysis and demonstration of this method capability to evaluation of a software safety by use-case analysis, use-case diagram review, and use-case specification. Then, a Fuzzy VIKOR-based FMEA is used for further evaluation due to the presence of uncertain data. Finally, it is applied to a real CPS.

Multi expert and multi criteria evaluation of sectoral investments for sustainable development: An integrated fuzzy AHP, VIKOR / DEA methodology

The 2030 agenda for sustainable development calls for a holistic approach. It needs to tackle multidimensional aspects such as poverty, inequality, inclusivity, skill development to name a few. In this paper, a multi expert multi criteria decision making approach is adopted using fuzzy AHP, VIKOR and DEA. The weights of the criteria are determined using fuzzy AHP and it is found that basic amenities is the most important (0.21) followed by environmental concern (0.18). Fuzzy VIKOR early defuzzification is used to rank the various sectors based on the importance of sustainability criteria. Science & technology is ranked first followed by rural development. Considering the investment made in each sector, fuzzy AHP DEA indicates water resources, river development & environment lies in the frontier efficiency region. The DEA analysis reveals that basic amenities, environment concern and governance system need to be focused upon for improving the efficiency score of science & technology from 92.2% to reach the frontier line efficiency. The integrated fuzzy AHP VIKOR presents the ranking considering only the sustainability criteria while fuzzy AHP DEA highlights whether the national investment is in tune with the sustainability criteria for sustainable development.

WITHDRAWN: A Hybrid Framework of Human Error Analysis for shale gas fracturing operation based on HAZOP and Fuzzy VIKOR

WITHDRAWN: A Hybrid Framework of Human Error Analysis for shale gas fracturing operation based on HAZOP and Fuzzy VIKOR