Article
Computer Science, Artificial Intelligence
Shuping Wan, Jiuying Dong
Summary: This article presents a new intuitionistic fuzzy BWM (IFBWM) method for multicriteria decision-making. The article formulates the derivation of optimal IF weights as an IF decision-making problem and constructs mathematical programming models. It also investigates the process of improving the consistency. Several examples are provided to demonstrate the effectiveness of the proposed IFBWM.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Mohamadtaghi Rahimi, Pranesh Kumar, Behzad Moomivand, Gholamhosein Yari
Summary: By utilizing the concepts of entropy and intuitionistic fuzzy sets, a new fuzzy decision-making approach called intuitionistic fuzzy entropy measure is proposed in this paper for selecting and ranking suppliers. Through a real case study, decision-makers are helped to understand the weight of each criterion and ultimately choose the best supplier.
COMPLEX & INTELLIGENT SYSTEMS
(2021)
Article
Computer Science, Information Systems
Arunodaya Raj Mishra, Shyi-Ming Chen, Pratibha Rani
Summary: In this paper, a new score function for Fermatean fuzzy numbers (FFNs) is proposed to overcome the limitations of existing score functions. A new multicriteria decision making (MCDM) method is developed based on this score function, along with the CRITIC method and the GLDS method with Fermatean fuzzy information. The developed method addresses the shortcomings of existing MCDM methods in FFNs environments, providing a useful approach for MCDM in the context of FFNs.
INFORMATION SCIENCES
(2023)
Article
Operations Research & Management Science
Fedia Daami Remadi, Hela Moalla Frikha
Summary: Multiple attribute decision analysis (MADA) is an important part of modern decision science and has been increasingly used in the literature. The study of sorting problems is an active research topic in the multiple criteria decision aid (MCDA) area. The intuitionistic fuzzy set (IFS) theory has achieved great success in solving the fuzziness and vagueness of evaluation criteria. This paper presents a novel extension of the FlowSort method based on the IFS theory, and provides an illustrative example and an empirical comparison with other MCDM methods.
RAIRO-OPERATIONS RESEARCH
(2022)
Article
Mathematics
Shahzad Faizi, Heorhii Svitenko, Tabasam Rashid, Sohail Zafar, Wojciech Salabun
Summary: This paper proposes operations and properties on the cubic intuitionistic set, including the internal and external cubic intuitionistic sets, P-order, R-order, P-union, R-union, P-intersection, and R-intersection. The paper investigates properties of these operations and presents examples. Important theorems related to the internal and external cubic intuitionistic sets are also presented. The effectiveness and significance of the proposed operations are measured through solving a multi-criteria decision-making problem.
Article
Automation & Control Systems
Nian Zhang, Yifan Zhou, Jin Liu, Guiwu Wei
Summary: This paper proposes a VIKOR method based on regret theory to solve multi-attribute decision-making problems. The method comprehensively expresses evaluation information and accurately quantifies psychological behavior, improving decision-making efficiency.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Thermodynamics
Kotb M. Kotb, M. R. Elkadeem, Ahmed Khalil, Sherif M. Imam, Mohamed A. Hamada, Swellam W. Sharshir, Andras Dan
Summary: This study proposes a conceptual design model for a sustainable hybrid renewable stand-alone energy system (HRSES) to meet the electricity demand of a desalination plant in Baltim, Egypt. Using a fuzzy-based multicriteria decision-making model and HOMER software, the optimal energy solution is selected among different alternatives based on economic, ecological, and performance criteria.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Editorial Material
Computer Science, Artificial Intelligence
Akansha Mishra, Amit Kumar, S. S. Appadoo
Summary: Li and Chen proposed the concept of D-intuitionistic hesitant fuzzy set and a method for comparing them, which was later found to be inadequate for distinguishing distinct sets.
COGNITIVE COMPUTATION
(2021)
Article
Computer Science, Artificial Intelligence
Kai Zhang, Jianming Zhan, Wei-Zhi Wu
Summary: This article introduces a novel fuzzy alpha-neighborhood operator and a fuzzy rough set model based on this operator for decision-making in information systems. By utilizing data normalization and the fuzzy alpha-neighborhood-based fuzzy rough set model, real-valued information systems are effectively transformed into intuitionistic fuzzy-valued information systems, with three different sorting decision-making schemes developed on the latter. The method is validated through numerical experiments and comparative studies, demonstrating its stability and effectiveness.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Mathematics, Applied
Atiqe Ur Rahman, Muhammad Saeed, Hamiden Abd El-Wahed Khalifa, Walaa Abdullah Afifi
Summary: This study generalizes the concept of possibility intuitionistic fuzzy hypersoft set and proposes algorithms based on AND/OR operations for decision making. The set-theoretic operations and similarity measure of possibility intuitionistic fuzzy hypersoft sets are investigated with numerical examples, matrix and graphical representations. The proposed structure and similarity formulation are compared with existing models to validate their effectiveness.
Article
Computer Science, Information Systems
Naeem Jan, Jeonghwan Gwak, Dragan Pamucar, Luis Martinez
Summary: The objective of this study is to address challenging decision-making issues by proposing innovative concepts. The study focuses on evaluating the importance of the operating system in computer systems using complex intuitionistic fuzzy soft relations. The proposed methodology provides a fuzzy-based solution for OS-related problems.
INFORMATION SCIENCES
(2023)
Article
Multidisciplinary Sciences
Elif Caloglu Buyukselcuk, Yigit Can Sari
Summary: In this study, VIKOR method was used to determine the best whey protein supplement. The problem was solved by comprehensively evaluating criteria and considering expert opinions.
Article
Mathematics, Applied
Rana Muhammad Zulqarnain, Xiao Long Xin, Muhammad Saeed
Summary: Intuitionistic fuzzy hypersoft set is a new technique for expressing insufficient evaluation, uncertainty, and anxiety in decision-making, and can handle uncertain and fuzzy information more effectively. The concepts and properties of correlation coefficient and weighted correlation coefficient are proposed, along with the introduction of TOPSIS technique and aggregation operators based on these coefficients. This method's effectiveness is demonstrated through a case study on decision-making difficulties and a comparative analysis with existing studies.
Article
Computer Science, Artificial Intelligence
Vikas Arya, Satish Kumar
Summary: The paper introduces a new entropy measure based on picture fuzzy sets (PFS) and discusses its properties in detail. It also proposes an entropy-based decision-making method for picture fuzzy MCDM problems with the integration of subjective and objective weights to provide more objective evaluation results.
COGNITIVE COMPUTATION
(2021)
Article
Mathematics, Applied
Jabbar Ahmmad, Tahir Mahmood, Ronnason Chinram, Aiyared Iampan
Summary: Spherical fuzzy soft sets are important in handling human opinions beyond yes or no, avoiding complexities. Aggregation operators are effective tools to convert information into a single value and aid decision-making. New concepts and operators introduced based on spherical fuzzy soft sets are discussed and compared with existing methods to show validity and superiority.
Review
Computer Science, Artificial Intelligence
Fatih Emre Boran, Diyar Akay, Ronald R. Yager
EXPERT SYSTEMS WITH APPLICATIONS
(2016)
Article
Engineering, Manufacturing
Mehmet Erdem, Fatih Emre Boran, Diyar Akay
HUMAN FACTORS AND ERGONOMICS IN MANUFACTURING & SERVICE INDUSTRIES
(2016)
Article
Automation & Control Systems
Alptekin Demiray, Diyar Akay, Salih Tekin, Fatih Emre Boran
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2017)
Article
Computer Science, Artificial Intelligence
Betul Dundar, Diyar Akay, Fatih Emre Boran, Suat Ozdemir
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2018)
Article
Computer Science, Artificial Intelligence
Tunahan Altintop, Ronald R. Yager, Diyar Akay, Fatih Emre Boran, Muhammet Unal
INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS
(2017)
Article
Energy & Fuels
Fatih Emre Boran
ENERGY SOURCES PART B-ECONOMICS PLANNING AND POLICY
(2018)
Article
Computer Science, Artificial Intelligence
Sena Aydogan, Diyar Akay, Fatih Emre Boran, Ronald R. Yager
INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS
(2018)
Article
Energy & Fuels
F. E. Boran
ENERGY SOURCES PART B-ECONOMICS PLANNING AND POLICY
(2015)
Article
Computer Science, Artificial Intelligence
Hakan Hatipoglu, Fatih Emre Boran, Mustafa Avci, Diyar Akay
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2014)
Article
Computer Science, Artificial Intelligence
Serkan Genc, Diyar Akay, Fatih Emre Boran, Ronald R. Yager
Article
Computer Science, Artificial Intelligence
Adem Pinar, Fatih Emre Boran
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
(2020)
Article
Engineering, Manufacturing
Diyar Akay, Burcu U. Duran, Engin Duran, Brian Henson, Fatih E. Boran
Summary: Affective design involves incorporating human emotions and subjective impressions into product design. Different scales are commonly used to measure subjective emotions related to design features. New scales, LAM and Fuzzy Linguistic, were developed in this study and compared to the traditional SDS scale.
HUMAN FACTORS AND ERGONOMICS IN MANUFACTURING & SERVICE INDUSTRIES
(2021)
Article
Computer Science, Artificial Intelligence
Ilyas Ozdogan, Fatih Emre Boran, Diyar Akay
Summary: A new fuzzy cardinality based possibilistic approach is proposed for evaluating linguistic summaries in interval type-2 fuzzy environment, which generates more stable results compared to the probabilistic approach.
ARTIFICIAL INTELLIGENCE REVIEW
(2021)
Article
Computer Science, Artificial Intelligence
Adem Pinar, Fatih Emre Boran
Summary: Different higher order fuzzy sets have been introduced to handle uncertainty in decision making and data mining. This paper introduces a novel distance measure for q-RPFS and applies it in group decision making and classification in q-RPF environment. The proposed classification algorithm shows the highest average accuracy compared to other algorithms.
ARTIFICIAL INTELLIGENCE REVIEW
(2022)
