Journal of Intelligent & Fuzzy Systems - Volume 42, issue 1

Authors: Gerasimenko, Evgeniya | Kureichik, Vladimir V.

Article Type: Research Article

Abstract: Nowadays, various emergencies that are human-made or natural occur widely and threaten people’ lives and health. One of the most important evacuation tasks is the minimum cost lexicographic flow modelling task, which allows aggrieved to be transported to safe areas along the optimal transportation routes, taking into account the priority of shelters. It is inevitable that when modelling an evacuation scenario, an expert will encounter difficulties in setting network parameters due to the inherent uncertainty of a network, the rapid change in the nature of the movement, etc. Intuitionistic fuzzy sets allow simulating doubts and uncertainty of a decision-maker when …choosing a membership function. Due to the increasing complexity of the decision-making problems, experts cannot assess all the network parameters correctly because much specific knowledge is required, and each expert cannot be familiar with all attributes equally. Therefore, different decision-makers should have different values for various attributes. The algorithm proposed incorporates the search for the order of reliable shelters according to the modified TOPSIS method and the minimum cost paths in intuitionistic fuzzy conditions based on the non-standard subtraction operation. A case study is conducted to verify the proposed algorithm. Show more

Keywords: Lexicographic evacuation flow, intuitionistic network, fuzzy evacuation modeling

DOI: 10.3233/JIFS-219190

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 1, pp. 251-263, 2022

Authors: Yaşlı, Fatma | Bolat, Bersam

Article Type: Research Article

Abstract: Occupational safety problems are no longer acceptable for any industrial environment. Lack of comprehensive and reliable evaluations for occupational safety causes many undesired events and harm to employees during the industrial process. In this study, it is aimed to develop an applicable risk analysis methodology for evaluating the undesired occupational events that occurred in the multi-process system where no historical accident records. The difficulty in obtaining and analyzing the data required for the determination of the occupational safety risks especially in the manually executed processes has been overcome with the Bayesian Network and interval type-2 fuzzy sets by using the …expert judgments. While BN enables to development of a comprehensive reasoning approach about the occurrence of the events, interval type-2 fuzzy sets better represent the ambiguity in the judgments by covering the uncertainty in a wider mathematical range with less computational effort according to other fuzzy sets. During multi-processes in industrial activity, various occupational undesired events may occur, including rare events with very serious consequences or frequent events with very low severity consequences. To able to consider all kinds of events occurring in an industrial environment from a holistic risk perspective, a novel fuzzy scale for specifying the probability and consequence of the events are proposed by the interval type-2 fuzzy numbers. Therefore, all undesired events regardless the probability and consequence which may occur during the multi-processes in a system and the main root causes of these events can be observed within the proposed methodology. A case study is used to emphasize the effect of the proposed methodology for risk analysis of occupational safety in underground mining. The results have indicated that occupational safety education is the most contributing factor to occurring the undesired occupational events in underground mining. We believe that this study could help evaluate the safety risk of the multi-process systems comprehensively and holistically and proposing strategic planning for mitigating the occupational safety risks. Show more

Keywords: Bayesian Network, interval type-2 fuzzy sets, occupational safety, risk analysis, underground mining

DOI: 10.3233/JIFS-219191

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 1, pp. 265-282, 2022

Authors: Temelcan, Gizem | Gonce Kocken, Hale | Albayrak, Inci

Article Type: Research Article

Abstract: Solving multi-objective linear programming (MOLP) problems and fully fuzzy multi-objective linear programming (FFMOLP) problems involves the trade-off process among several objectives. A new algorithm extended where FFMOLP problems are solved using a 2-player zero-sum game approach to deal with this case. Firstly, The FFMOLP problem is separated into a certain number of fully fuzzy linear programming (FFLP) problems and each is solved by applying any method. After forming a ratio matrix, a game theory approach is applied for finding the weights of objective functions and a weighted LP problem is constructed by these weights. Solving the weighted LP problem, a …fuzzy compromise solution of the FFMOLP problem is found. Constructing different ratio matrices, it is also possible to obtain more than one compromise solution to be offered to the decision-maker(s). Some examples are given to show the applicability of the algorithm. Show more

Keywords: Fully fuzzy multi-objective linear programming problem, compromise solution, ranking method, distance method and zero-sum game

DOI: 10.3233/JIFS-219192

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 1, pp. 283-293, 2022

Authors: Alkan, Nurşah | Kahraman, Cengiz

Article Type: Research Article

Abstract: A circular intuitionistic fuzzy set (CIFS) recently introduced by Atanassov as a new extension of intuitionistic fuzzy sets is represented by a circle whose radius is r and whose center is composed of membership and non-membership degrees. The idea is similar to type-2 fuzzy sets, which are based on the fuzziness of membership functions with a third dimension. CIFSs help us define membership functions more flexibly, taking into account the vagueness in membership and non-membership degrees. In this study, TOPSIS, which is a multi-criteria decision-making (MCDM) method, is developed under circular intuitionistic fuzzy environment. The proposed CIF-TOPSIS method is …applied to determine the most appropriate pandemic hospital location selection problem. Then, a sensitivity analysis based on criteria weights and the weight of the decision maker’s optimistic and pessimistic attitudes are conducted to check the robustness of the decisions given by the proposed approach. A comparative analysis with the single-valued intuitionistic fuzzy TOPSIS, Pythagorean fuzzy TOPSIS, picture fuzzy TOPSIS methods is also performed to verify the developed approach and to demonstrate its effectiveness. Show more

Keywords: Circular intuitionistic fuzzy sets, intuitionistic fuzzy sets, MCDM, TOPSIS, pandemic, hospital location selection

DOI: 10.3233/JIFS-219193

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 1, pp. 295-316, 2022

Authors: Kilic, Huseyin Selcuk | Kalender, Zeynep Tugce | Yalcin, Ahmet Selcuk | Erkal, Gizem | Tuzkaya, Gulfem

Article Type: Research Article

Abstract: Like the other industries, information technologies are very important tools for the hotels’ success in the tourism industry. Various processes required for the hotel business can be integrated by using a proper system, and simultaneous data transfer among different channels can be facilitated. Due to its contribution in creating value for the customers and the increasing efficiency of the processes, substantial investments in information technologies are planned by the hotel management. Like most operation management problems, evaluation and selection of proper hotel information systems require considering multiple criteria. Also, considering the uncertainty inherent to the problem and difficulties during the …evaluation process, an integrated IVIF-DEMATEL and IVIF-TOPSIS approach is utilized in this paper. The IVIF-DEMATEL is used for the criteria evaluation, and the weight determination phase and IVIF-TOPSIS is used to evaluate hotel information systems alternatives. An application for the Turkish tourism sector’s case is realized, and the results of the methodology are compared with the IVIF-VIKOR approach. Show more

Keywords: Channel manager, hotel information system, IVIF-DEMATEL, IVIF-TOPSIS

DOI: 10.3233/JIFS-219194

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 1, pp. 317-335, 2022

Authors: Hamal, Serhan | Senvar, Ozlem

Article Type: Research Article

Abstract: Many studies have used different financial ratios for financial accounting fraud detection. This study focuses on multicriteria decision-making (MCDM) for ranking 25 financial ratios with respect to six criteria in detecting financial accounting fraud using interval-valued spherical fuzzy sets (IVSFS) and single-valued spherical fuzzy sets (SVSFS) to overcome uncertainties in decision-making process of financial analysts. This study proposes an integrated Analytic Hierarchy Process (AHP) and Multi-Objective Optimization by a Ratio Analysis plus the Full Multiplicative Form (MULTIMOORA) approach using IVSFS and SVSFS. Comparative results are obtained and discussed in prioritization of financial ratios for both IVSFS and SVSFS.

Keywords: Financial ratios, financial accounting fraud detection, single-valued spherical fuzzy sets (SVSFS), interval-valued spherical fuzzy sets (IVSFS), analytic hierarchy process (AHP), multi-objective optimization by a ratio analysis plus the full multiplicative form (MULTIMOORA)

DOI: 10.3233/JIFS-219195

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 1, pp. 337-364, 2022

Authors: Sergi, Duygu | Sari, Irem Ucal | Senapati, Tapan

Article Type: Research Article

Abstract: Capital budgeting requires dealing with high uncertainty from the unknown characteristics of cash flow, interest rate, and study period forecasts for future periods. Many fuzzy extensions of capital budgeting techniques have been proposed and used in a wide range of applications to deal with uncertainty. In this paper, a new fuzzy extension of the most used capital budgeting techniques is proposed. In this content, first interval-valued Fermatean fuzzy sets (IVFFSs) are defined, and the algebraic and aggregation operations are determined for interval-valued Fermatean fuzzy (IVFF) numbers. The formulations of IVFF net present value, IVFF equivalent uniform annual value, and IVFF …benefit-cost ratio (B/C) methods are generated. To validate the proposed methods, proposed formulations are illustrated with a hypothetical example, and the results are compared with classical fuzzy capital budgeting techniques. Show more

Keywords: Interval-valued Fermatean fuzzy sets, fuzzy engineering economics, fuzzy net present value, fuzzy equivalent uniform annual value, fuzzy benefit cost ratio

DOI: 10.3233/JIFS-219196

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 1, pp. 365-376, 2022

Authors: Piltan, Farzin | Kim, Jong-Myon

Article Type: Research Article

Abstract: Pipelines are a nonlinear and complex component to transfer fluid or gas from one place to another. From economic and environmental points of view, the safety of transmission lines is incredibly important. Furthermore, condition monitoring and effective data analysis are important to leak detection and localization in pipelines. Thus, an effective technique for leak detection and localization is presented in this study. The proposed scheme has four main steps. First, the learning autoregressive technique is selected to approximate the flow signal under normal conditions and extract the mathematical state-space formulation with uncertainty estimations using a combination of robust autoregressive and …support vector regression techniques. In the next step, the intelligence-based learning observer is designed using a combination of the robust learning backstepping method and a fuzzy-based technique. The learning backstepping algorithm is the main part of the algorithm that determines the leak estimation. After estimating the signals, in the third step, their classification is performed by the support vector machine algorithm. Finally, to find the size and position of the leak, the multivariable backstepping algorithm is recommended. The effectiveness of the proposed learning control algorithm is analyzed using both experimental and simulation setups. Show more

Keywords: Pipeline, fuzzy logic, autoregressive algorithm, support vector regression, backstepping observer, support vector machine, learning backstepping observer, multivariable backstepping algorithm, leak detection, leak size classification, leak localization

DOI: 10.3233/JIFS-219197

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 1, pp. 377-388, 2022

Authors: Demircan, Murat Levent | Acarbay, Algı

Article Type: Research Article

Abstract: Payment is an important part of people’s daily lives, and although both online and offline transactions made by credit cards increase every day with the growing interest in e-commerce, 85–90% of worldwide payment transactions are still made by cash. However, the banks, giant payment institutions like Visa and MasterCard, and Payment Service Provider companies aim to increase the number of card transactions and enhance their platforms by supporting a wide range of channels with digital solutions, enhancing the security and providing value-added services. Having the user-friendly and secure payment platforms, and easy and quick integration opportunities with the merchants are …quite critical for the banks; which shift them to outsource Virtual Point of Sale platform and focus on their core business. In this article, the vendor selection process of a bank is researched and Evaluation based on Distance to Average Solution (EDAS) method is used for vendor selection. Show more

Keywords: Multiple criteria decision making, neutrosophic fuzzy EDAS method, fuzzy Systems, software development

DOI: 10.3233/JIFS-219198

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 1, pp. 389-400, 2022

Authors: Oztaysi, Basar | Onar, Sezi Cevik | Kahraman, Cengiz

Article Type: Research Article

Abstract: The REGIME method is an easy to understand techniques which is based on pairwise comparisons and which can use qualitative data for decision making problems. The steps of the technique are simple and can be easily adopted to complex decision problems. Classical REGIME techniques use crisp numbers to evaluate qualitative evaluations. In this paper we propose Pythagorean Fuzzy REGIME (PF-REGIME) techniques which integrates Pythagorean Fuzzy Sets with REGIME technique. The proposed PF-REGIME is applied to waste disposal site selection problem. The decision model is constructed for three alternatives and five criteria in order to demonstrate the performance of the proposed …PF-REGIME method. Show more

Keywords: Waste disposal, pythagorean fuzzy sets, REGIME Method

DOI: 10.3233/JIFS-219199

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 1, pp. 401-410, 2022