Article
Computer Science, Artificial Intelligence
Pankaj Kakati
Summary: This paper introduces a new operator for handling multi-criteria decision-making problems in real-life situations, discussing its properties and developing a corresponding decision-making method. The application of this method is demonstrated through a numerical example.
NEURAL PROCESSING LETTERS
(2021)
Article
Computer Science, Artificial Intelligence
Li Wang, Yan-Ling Bao
Summary: Single-valued neutrosophic hesitant fuzzy elements are useful for characterizing information, but one of the aggregation operators does not satisfy idempotency and is not suitable for practical applications.
PATTERN ANALYSIS AND APPLICATIONS
(2021)
Article
Multidisciplinary Sciences
Zitai Xu, Chunfang Chen, Yutao Yang
Summary: This paper investigates the issue of bias in decision-making process and proposes a new operator combination method to address this issue for achieving fair and objective decision-making. The proposed decision method is applied to a software selection problem to verify its effectiveness and feasibility.
Article
Computer Science, Artificial Intelligence
Xiao-Peng Xu, Li Wang
Summary: Fermentation engineering is a technology that uses microorganisms and enzymes to produce biological products or control industrial processes. Modern fermentation engineering is an important part of modern biotechnology with broad application prospects. The GSVNNWBM method proposed in this study can be used for multi-attribute decision-making problems.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Chuanyang Ruan, Xiangjing Chen, Shouzhen Zeng, Shahbaz Ali, Bander Almutairi
Summary: This paper focuses on the influence of support degree and weight between different attributes on the decision-making process. The proposed operators improve the generalization ability and a MADM method is proposed based on these operators. The validity and viability of the new approach are demonstrated through an example.
Article
Engineering, Multidisciplinary
Tahir Mahmood, Zeeshan Ali, Dulyawit Prangchumpol, Thammarat Panityakul
Summary: Neutrosophic sets have a greater power than fuzzy sets, with the ability to account for true, false, or indeterminate components. However, simultaneous variations can make neutrosophic sets unsuitable for certain circumstances. By combining multi-valued neutrosophic uncertain linguistic sets and complex fuzzy sets, the concept of multi-valued complex neutrosophic uncertain linguistic sets is developed to address these issues.
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
(2022)
Article
Automation & Control Systems
Yuan Rong, Yi Liu, Zheng Pei
Summary: This paper introduces interval-valued intuitionistic fuzzy sets and methods related to them, including BM operators based on ACC. By studying new operational rules and multi-attribute decision-making, a method for aggregating IVIFNs is proposed, and the effectiveness and superiority of the method are demonstrated.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2021)
Article
Multidisciplinary Sciences
Bowen Hou, Yongming Chen
Summary: This paper proposes a novel generalized orthopair fuzzy multi-attribute decision-making method, which combines the power average operator and the Bonferroni mean operator along with weight indicators to comprehensively and accurately represent fuzzy information in multi-attribute decision-making problems. The effectiveness of this operator is demonstrated, and its desirable properties are discussed.
Article
Mathematics, Applied
Tahir Mahmood, Ubaid Ur Rehman, Zeeshan Ali, Muhammad Aslam
Summary: In a professional environment, decision-making techniques are necessary to handle complex situations. This paper introduces a decision-making technique developed using interpreted aggregation operators, highlighting their advantages and characteristics. The paper also explores the application of derived operators and presents experimental results evaluating the reliability and practicality of the proposed theory.
Article
Computer Science, Artificial Intelligence
Fu Chen
Summary: The study aims to guarantee the quality of college physical education and reverse the declining trend of college students' physique. By using 2-tuple linguistic neutrosophic sets (2TLNS) to evaluate the classroom teaching quality (CTQ) of college badminton training, the study proposes the 2-tuple linguistic neutrosophic numbers weighted power HM (2TLNWPHM) operator. The results of the study show that the proposed method is effective in empirical application.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Kuo-Ping Chiao
Summary: This paper develops new aggregation models based on QGOWA and BM operators with IT2FS for interrelated multi-criteria decision making problems. The research focuses on addressing the interrelationship between decision criteria in MCDM and proposes various extended aggregation models.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Xianghong Rong
Summary: English is a crucial subject during college education, directly impacting college students' English literacy and proficiency. Utilizing the perspective of mobile internet, the implementation of a smart classroom teaching mode for college English can foster the reform and enhancement of traditional teaching methods. By empowering students' subjectivity, English teaching can take place in a modern classroom environment, contributing to the strengthening of students' comprehensive English abilities and the establishment of an efficient college English classroom.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Tahir Mahmood, Muhammad Ahsen, Zeeshan Ali
Summary: Picture hesitant fuzzy sets are a valuable tool for expressing uncertain information, surpassing intuitionistic fuzzy sets and hesitant fuzzy sets in certain aspects. The proposed picture hesitant fuzzy mean operators offer a new method for dealing with decision-making in uncertain environments, with demonstrated effectiveness and superiority in practical examples.
Article
Computer Science, Artificial Intelligence
Binyu Luo, Yicheng Ye, Nan Yao, Qihu Wang
Summary: This study mined information of interval numbers, including non-positive ones, in a rectangular coordinate system to define a ranking method and validate its feasibility and effectiveness through examples. The method can rank interval numbers intuitively and represent decision-makers’ multiple attitudes with different risk appetites.
Article
Multidisciplinary Sciences
Hongbing Song, Yushui Geng
Summary: In this paper, the Maclaurin symmetric mean (MSM) operator is combined with single-valued neutrosophic uncertain linguistic set to propose new operators, introducing weighted methods as well. The effectiveness and superiority of the method are verified through an investment example study.
Article
Computer Science, Artificial Intelligence
Yinyu Wang, Kifayat Ullah, Tahir Mahmood, Harish Garg, Lemnaouar Zedam, Shouzhen Zeng, Xingsen Li
Summary: This paper investigates the global pandemic scenario of COVID-19 using relations and information measures in an interval-valued T-spherical fuzzy (IVTSF) environment. It discusses how similarity measures and relations can be used to determine the diagnosis of a patient based on their symptoms. The advantages of dealing with medical diagnosis problems using the IVTSF framework are demonstrated with examples.
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING
(2023)
Article
Computer Science, Artificial Intelligence
Tahir Mahmood, Zeeshan Ali, Dragan Pamucar
Summary: To address ambiguity and uncertainty in real-life problems, scholars have made various modifications to fuzzy sets. However, in certain situations, decision-makers fail to make feasible decisions, such as when presented with two-dimensional or type-1 fuzzy sets. This study introduces the concept of type-2 picture fuzzy sets (T2-PFS) and defines their algebraic laws. Additionally, new Hamacher aggregation operators and Minkowski sorts of measures under T2-PFS are proposed. The application of matrix game in a T2-PFS environment is explored using operators and measures based on the Hausdorff metric. The relevance and authenticity of the proposed concepts are verified through a case study involving a biogas plant implementation dilemma. Sensitivity analysis and geometric illustrations are also provided to demonstrate the effectiveness and consistency of the proposed approaches.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2023)
Article
Mathematics, Applied
Pratibha Rani, Arunodaya Raj Mishra, Peide Liu
Summary: Pythagorean fuzzy set (PFS) is a significant mode to tackle imprecise and vague information. In this study, novel similarity and divergence measures for PFSs are developed and compared with existing measures. An extended version of multi-objective optimization based on the ratio analysis (MOORA) with the full multiplicative form (MULTIMOORA) approach is introduced. A case study on medical equipment supplier selection is conducted to demonstrate the feasibility and usefulness of the presented approach. The outcomes show that the present approach is more applicable and efficient than existing techniques under PFSs' context.
COMPUTATIONAL & APPLIED MATHEMATICS
(2023)
Article
Computer Science, Artificial Intelligence
Dong-Lun Wu, Zhiyi Zhu, Kifayat Ullah, Lantian Liu, Xinxing Wu, Xu Zhang
Summary: Similarity measures are important tools for evaluating the closeness between attributes in real-life problems. Complex Pythagorean fuzzy set (CPyFS) and various types of distance measures (DisMs) based on CPyFSs have been introduced. In this paper, a new DisM for CPyFSs is proposed and proven to satisfy the axiomatic definition. The effectiveness of the proposed DisMs is illustrated through applications in building material recognition and medical diagnosis.
COMPLEX & INTELLIGENT SYSTEMS
(2023)
Article
Mathematics, Applied
Chengli Hu, Ping Liu, Hongtao Yang, Shi Yin, Kifayat Ullah
Summary: Green intelligent building materials are an effective way to reduce carbon emissions in the building materials industry. However, unstable R&D investments and imperfect collaborative innovation models hinder the development of this industry. This study analyzes the income distribution mechanism and game strategy of collaborative innovation behavior in the green intelligent building materials industry.
Article
Mathematics, Applied
Ansa Ashraf, Kifayat Ullah, Darko Bozanic, Amir Hussain, Haolun Wang, Adis Puska
Summary: This paper investigates fuzzy concepts with uncertain information and proposes the Maclaurin symmetric mean (MSM) operator for interval-valued spherical fuzzy sets (IVSFS). It also introduces a family of aggregation operators, including the interval valued spherical fuzzy Maclaurin symmetric mean (IVSFMSM), interval valued spherical fuzzy weighted Maclaurin symmetric mean (IVSFWMSM), interval valued spherical fuzzy dual Maclaurin symmetric mean (IVSFDMSM), and interval valued spherical fuzzy dual weighted Maclaurin symmetric mean (IVSFDWMSM). The application of these operators is demonstrated through an example of evaluating multinational companies, and the results are compared and presented in graphs and tables for better understanding.
Article
Computer Science, Artificial Intelligence
Luong Thi Hong Lan, Do Thi Thu Hien, Nguyen Tho Thong, Florentin Smarandache, Nguyen Long Giang
Summary: Decision-making is a systematic process that provides optimal solutions by evaluating feasible alternatives. This paper introduces a Temporal Complex neutrosophic set (TCNS) and proposes a TCNS-ANP-TOPSIS model for multi-criteria decision-making. The model extends existing methods to incorporate different time intervals and is demonstrated through a case study in choosing a tourist destination. Comparative analysis shows the effectiveness and consistency of the proposed model.
APPLIED SOFT COMPUTING
(2023)
Article
Computer Science, Information Systems
Peide Liu, Ran Dang, Peng Wang, Xiaoming Wu
Summary: This study proposes a group consensus decision approach based on incomplete probabilistic linguistic preference relation (InPLPR), considering consistency, the social trust network (STN), and unit cost consensus adjustment. The missing information problem in InPLPR is solved by proposing an InPLPR consistency measure formula and a multi-stage missing value estimation method based on optimal consistency and STN. Hesitation index and unit consensus cost measurement formulas are presented for incomplete probabilistic linguistic term set. Consensus reaching and ranking selection are performed based on the proposed unit minimum cost consensus model. The advantages of the method are derived through comparative analysis.
INFORMATION SCIENCES
(2023)
Article
Mathematics, Applied
Azmat Hussain, Tahir Mahmood, Florentin Smarandache, Shahzaib Ashraf
Summary: Atanassov's dominant notion of intuitionistic fuzzy sets revolutionized various scientific fields. Dombi operations, introduced by Dombi, use operational parameters that possess natural flexibility and variability resilience. The advantage of these parameters is essential in expressing experts' attitudes in decision-making. This study proposes an intuitionistic fuzzy rough TOPSIS method based on Dombi operations, which includes new operational laws to aggregate averaging and geometric operators. The developed operators, such as intuitionistic fuzzy rough Dombi weighted averaging and intuitionistic fuzzy rough Dombi ordered weighted geometric operators, are compared with existing methods, demonstrating their superiority and applicability.
COMPUTATIONAL & APPLIED MATHEMATICS
(2023)
Article
Mathematics, Applied
Haolun Wang, Tingjun Xu, Liangqing Feng, Tahir Mahmood, Kifayat Ullah
Summary: A series of novel aggregation operators integrated by the Hamy mean and Aczel-Alsina operations are proposed to solve T-spherical fuzzy multi-criteria decision-making (MCDM) issues. The proposed operators include the T-spherical fuzzy Aczel-Alsina Hamy mean (TSFAAHM) operator, T-spherical fuzzy Aczel-Alsina dual Hamy mean (TSFAADHM) operator, and their weighted forms, i.e., the T-spherical fuzzy Aczel-Alsina-weighted Hamy mean (TSFAAWHM) and T-spherical fuzzy Aczel-Alsina-weighted dual Hamy mean (TSFAAWDHM) operators. The effectiveness of this study is verified through a numerical example and comparison with available methods, along with a parameters influence test.
Article
Automation & Control Systems
Muhammad Rizwan Khan, Kifayat Ullah, Hanen Karamti, Qaisar Khan, Tahir Mahmood
Summary: This article aims to develop the Aczel-Alsina operational laws based on power aggregation operators (PAOs) for the q-Rung orthopair fuzzy set (FS) (q-ROFS) framework. The q-ROFSs can adjust the information region by fluctuating the restriction ≥ 1. PAOs have the advantage of vanishing the influence of awkward data from the final results.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Mathematics
Majed Albaity, Tahir Mahmood, Zeeshan Ali
Summary: Digital education is a crucial part of artificial intelligence, and it plays a significant role in solving real-world problems. It involves the use of digital techniques and tools in online purchasing, teaching, research, and learning, known as technology-enhanced learning or e-learning programs.
Article
Mathematics
Xiaopeng Yang, Tahir Mahmood, Zeeshan Ali, Khizar Hayat
Summary: This article determines Frank's operational laws based on complex intuitionistic fuzzy information and applies them to various Frank aggregation operators. Furthermore, it introduces some important properties of Frank's techniques. Lastly, the validity of the proposed methods is demonstrated through comparison with other techniques.
Article
Mathematics, Applied
Mohammad Hamidi, Florentin Smarandache
Summary: This paper introduces the concept of valued-inverse Dombi neutrosophic graphs and their application in complex networks. It presents the notions of complements and self-complements, and investigates their completeness and strength.
Article
Computer Science, Artificial Intelligence
Peng Wang, Yingxin Fu, Peide Liu, Baoying Zhu, Fubin Wang, Dragan Pamucar
Summary: This study explores the ecological governance of the Yellow River and proposes a multi-perspective evaluation method. By using BWM and IGR methods to calculate the weights of the indicators and combining multiple methods for comprehensive evaluation, policy recommendations for the ecological governance of the Yellow River Basin are obtained.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)