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

Authors: Seker, Sukran

Article Type: Research Article

Abstract: The glass manufacturing includes operations, such as batch forming using raw materials, melting, forming, annealing, quality check and package. Due to risky processes in glass manufacturing, significant health hazards for workers are present in the glass industry. Risk assessment is effective way to prevent accidents and protect workers from serious accidents during glass manufacturing. To assess health hazards associated with glass manufacturing, in this study Risk Matrix and The Technique for Order Preferences by Similarity to an Ideal Solution (TOPSIS) method are integrated under Interval-Valued Intuitionistic Fuzzy (IVIF) environment to prioritize risk factors and suggest required preventive and protective measures. …Suggested preventive and protective measures provide technical, economic and environmental challenges for glass manufacturing firms. Once the importance weight of risk parameters in Risk Matrix’ are determined, the risk factors are assessed by performing IVIF-TOPSIS method during glass manufacturing. In order to verify the validity and stability of the proposed risk assessment model, sensitivity and comparative analysis are accomplished at the end of the study. Show more

Keywords: Risk assessment, uncertainty, risk matrix, IVIF-TOPSIS

DOI: 10.3233/JIFS-219210

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 1, pp. 541-550, 2022

Authors: Rashid, Tabasam | Sarwar Sindhu, M.

Article Type: Research Article

Abstract: Motivated by interval-valued hesitant fuzzy sets (IVHFSs) and picture fuzzy sets (P c FSs), a notion of interval-valued hesitant picture fuzzy sets (IVHP c FSs) is presented in this article. The concept of IVHP c FSs is put forward and some operational rules are developed to deal with it. The cosine similarity measures (SMs) are modified for IVHP c FSs to deal with interval-valued hesitant picture fuzzy (IVHP c F) data and the linear programming (LP) methodology is used to find out the criteria’s weights. A multiple criteria decision making (MCDM) approach is then developed …to tackle the vague and ambiguous information involved in MCDM problems under the framework of IVHP c FSs. For the validation and strengthen of the proposed MCDM approach a practical example is put forward to select the educational expert at the end. Show more

Keywords: Fuzzy sets, picture fuzzy sets, hesitant fuzzy sets, IVHFSs, LP technique

DOI: 10.3233/JIFS-219211

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 1, pp. 551-561, 2022

Authors: Traneva, Velichka | Tranev, Stoyan

Article Type: Research Article

Abstract: Analysis of variance (ANOVA) is an important method in data analysis, which was developed by Fisher. There are situations when there is impreciseness in data In order to analyze such data, the aim of this paper is to introduce for the first time an intuitionistic fuzzy two-factor ANOVA (2-D IFANOVA) without replication as an extension of the classical ANOVA and the one-way IFANOVA for a case where the data are intuitionistic fuzzy rather than real numbers. The proposed approach employs the apparatus of intuitionistic fuzzy sets (IFSs) and index matrices (IMs). The paper also analyzes a unique set of data …on daily ticket sales for a year in a multiplex of Cinema City Bulgaria, part of Cineworld PLC Group, applying the two-factor ANOVA and the proposed 2-D IFANOVA to study the influence of “ season ” and “ ticket price ” factors. A comparative analysis of the results, obtained after the application of ANOVA and 2-D IFANOVA over the real data set, is also presented. Show more

Keywords: Decision making, index matrix, intuitionistic fuzzy sets, variation analysis

DOI: 10.3233/JIFS-219212

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 1, pp. 563-573, 2022

Authors: Tuncalı Yaman, Tutku | Bilgiç, Emrah | Fevzi Esen, M.

Article Type: Research Article

Abstract: Injury severity in motor vehicle traffic accidents is determined by a number of factors including driver, vehicle, and environment. Airbag deployment, vehicle speed, manner of collusion, atmospheric and light conditions, degree of ejection of occupant’s body from the crash, the use of equipment or other forces to re-move occupants from the vehicle, model and type of vehicle have been considered as important risk factors affecting accident severity as well as driver-related conditions such as age, gender, seatbelt use, alcohol and drug involvement. In this study, we aim to identify important variables that contribute to injury severity in the traffic crashes. …A contemporary dataset is obtained from National Highway Traffic Safety Administration’s (NHTSA) Fatality Analysis Reporting System (FARS). To identify accident severity groups, we performed different clustering algorithms including fuzzy clustering. We then assessed the important factors affecting injury severity by using classification and regression trees (CRT). The results which would guide car manufacturers, policy makers and insurance companies indicate that the most important factor in defining injury severity is deployment of air-bag, followed by extrication, ejection occurrences, and travel speed and alcohol involvement. Show more

Keywords: Traffic accidents, fuzzy clustering, data mining, injury severity, clustering, CRT

DOI: 10.3233/JIFS-219213

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 1, pp. 575-592, 2022

Authors: Unal, Yagmur | Temur, Gul T.

Article Type: Research Article

Abstract: In today’s highly competitive business market, the issue of sustainable supplier selection attracts great attention due to increased awareness of both social and environmental issues. The power of companies in the supply chain is determined not only by their own performance, but also by the power of other actors in the chain. As a field of study, the selection of sustainable suppliers remains its popularity because it requires developing a systematic procedure that addresses conflicting quantifiable and non-quantifiable factors simultaneously. In this study, one of the advanced fuzzy approaches called Spherical Fuzzy Sets (SFS) has been used to prioritize criteria …that affect sustainable supplier selection. The proposed methodology combines the Spherical Fuzzy Sets and the analytic hierarchy process (AHP) and takes into account four main criteria: economic, quality, social and environmental criteria. In order to prioritize the main and sub criteria, questionnaires were conducted with three experts who have valuable experience in this field of study. After then, for the selection of the best sustainable supplier, a real selection problem in an international company was handled. The figured out ranking of the criteria and supplier alternatives can be used as a guide by the researchers and industrial experts who are responsible for sustainable supplier selection. To measure how much unit increase in weights assigned to key criteria affects supplier selection, a sensitivity analysis was carried out. It was noticed that the selection procedure for the selected company is not highly sensitive to changes. Show more

Keywords: Analytic hierarchy process (AHP), spherical fuzzy sets, sustainable supplier selection

DOI: 10.3233/JIFS-219214

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 1, pp. 593-603, 2022

Authors: Ilbahar, Esra | Cebi, Selcuk | Kahraman, Cengiz

Article Type: Research Article

Abstract: Both national and international encouragements for research and development (R&D) projects have been growing worldwide. Since R&D projects include various uncertainties related to time, technology, finance, and knowledge, risk management studies are highly significant for the success of these projects. In risk management, all of the potential actions that might have negative impacts on the processes or outputs of a project should be determined, and if it is possible, their negative impacts should be reduced before the project starts. In this study, after risks in R&D projects are determined, the alternative projects are prioritized with respect to these risks by …using an approach based on interval-valued intuitionistic fuzzy AHP and fuzzy information axiom. Interval-valued Intuitionistic Fuzzy Analytic Hierarchy Process (IVIF AHP) is used to determine the importance degrees of the determined risk factors while fuzzy information axiom is used to evaluate R&D projects considering these risk factors. It is revealed that the most important risk is “Abnormal changes in cost” while the least important one is “Deficiencies in contract articles”. Show more

Keywords: R&D, risk assessment, intuitionistic fuzzy sets, AHP, fuzzy information axiom

DOI: 10.3233/JIFS-219215

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 1, pp. 605-614, 2022