Article
Computer Science, Artificial Intelligence
Shing-Chung Ngan
Summary: Fuzzy number ranking is an important and fundamental subject in fuzzy set theory. This article proposes a simple framework for ranking fuzzy numbers that allows users to configure their own ranking operator. The framework is demonstrated to be concrete, user-configurable, and user-explainable in various examples. It also has potential applications beyond fuzzy ranking, making it a fundamental framework in fuzzy set theory.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Qiushuang Wei, Chao Zhou, Qiong Liu, Weidong Zhou, Junjie Huang
Summary: The Forest Carbon Sink Project (FCSP) has advantages in carbon emission reduction, environment protection, and achieving carbon neutrality. This paper constructs an evaluation framework for identifying and evaluating the barriers to FCSP implementation in China using a multi-criteria decision-making method. The findings show that institutional and governance barriers, management barriers, economic and market barriers, knowledge barriers, and technical and infrastructure barriers are the main challenges in implementing the FCSP.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Yuanyuan Liu, Yunwen Miao, Athanasios A. Pantelous, Jian Zhou, Ping Ji
Summary: This article introduces two innovative techniques for approximating the expected values of fuzzy numbers' monotone functions based on existing fuzzy simulation algorithms. Through numerical experiments, the superiority of these two novel techniques over others in terms of accuracy, stability, and efficiency is prominently displayed.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Thermodynamics
Yunna Wu, Ting Zhang, Kexin Zhong, Linwei Wang, Chuanbo Xu, Ruhang Xu
Summary: This research focuses on optimal planning of various ESTs considering thirteen demand scenarios in the electricity grid through a three-stage decision-making framework. The critical features of ESTs are identified and analyzed, and a three-stage planning framework is established based on Lagrange optimized weight determination model. Results show that optimal planning varies with demand scenarios in the electricity grid.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Automation & Control Systems
Donghong Tian, Junhua Chen, Xiaobing Wu
Summary: In this paper, a risk analysis model based on interval-valued fuzzy numbers and risk attitudes is proposed to address the challenges in safety risks assessment in the oil industry, including linguistic uncertainty and multidimensional data fusion problems.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Computer Science, Artificial Intelligence
Qianlei Jia, Jiayue Hu, Enrique Herrera-Viedma
Summary: This article focuses on the application of uncertain Z-numbers in engineering practice. It introduces the concept of complex fuzzy sets and defines arithmetic operators and measurement indicators. A multicriteria group decision-making method is proposed and compared with other methods to verify the feasibility and validity of Z-information in practical applications.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Business
Gholamreza Haseli, Ilkin Yaran Ogel, Fatih Ecer, Mostafa Hajiaghaei-Keshteli
Summary: Smart jewelry, as an extension of wearable technology, has gained attention from women who seek both style and functionality. This research addresses the lack of women-centered approaches in existing studies on smart jewelry and the need for determining evaluation criteria and selecting the best alternatives for women. Through a review of literature and expert opinions, three main criteria and seventeen subcriteria are identified. The findings reveal that technology-related criteria are prioritized by women, with activity tracking, price, and mobile alert being the most critical subcriteria. Based on the overall evaluation, Ringly Luxe Smart Bracelet is determined as the best smart jewelry for women. This research contributes practically by guiding women in their selection processes and providing insights for smart jewelry designers and producers. The proposed framework also considers the reliability of decision-makers and experts, adding methodological value.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2023)
Article
Environmental Sciences
Gulcin Buyukozkan, Gizem Tufekci
Summary: The study aims to improve the qualification and efficiency of decision-making in wastewater treatment processes. A multi-stage framework is proposed to help select investments, technology, appropriate technology-specific systems, and companies. The framework combines several decision support tools within fuzzy logic to guide businesses and researchers for the evaluation of wastewater treatment decision processes.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Management
Zhou-Jing Wang, Feng-Qin Liu, Sun-Tao Qin, Xiao-Tong Jin
Summary: This paper proposes a parametric approach to define additive consistency of IFRPRs, develops important properties of consistent IFRPRs, establishes computational formulas and a goal programming model to address the additive consistency issue.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2022)
Article
Computer Science, Artificial Intelligence
Kavitha Koppula, Babushri Srinivas Kedukodi, Syam Prasad Kuncham
Summary: In this study, we define 2n+1 and 2n fuzzy numbers, generalizing triangular and trapezoidal fuzzy numbers. We extend fuzzy preference and relative preference relations for ranking these numbers. The proposed FMCDM model utilizing TOPSIS and relative preference relation is applied and validated with a telecommunications example.
Article
Automation & Control Systems
M. Ranjbar, S. Effati, S. M. Miri
Summary: This paper introduces a new approach to solve fully hesitant fuzzy linear programming problems with hesitant fuzzy numbers as parameters. By converting the problem into interval linear programming problems and using statistical regression analysis, approximate solutions are obtained. The method is validated through an example, showing that the solutions for decision variables and objective function are reasonable.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Computer Science, Artificial Intelligence
Boris Yatsalo, Alexander Korobov, Alexander Radaev, Jindong Qin, Luis Martinez
Summary: This study explores the ranking of fuzzy numbers, specifically the ranking of dependent fuzzy numbers. By comparing different fuzzy ranking methods, the equivalence and intransitivity of different methods in ranking independent and dependent fuzzy numbers are proven. Through a real-life case study, the differences in ordering alternatives by classical and modified ranking methods are demonstrated.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Infectious Diseases
Valentine Guetin-Poirier, Barbara Dufour, Julie Riviere
Summary: In animal health surveillance, decision-makers need to consider technical, economic, and acceptability factors when choosing appropriate protocols. Using the PROMETHEE method, stakeholders' preferences can be taken into account to rank protocols and aid decision-making in complex situations.
TRANSBOUNDARY AND EMERGING DISEASES
(2022)
Article
Mathematics, Applied
M. Aghamohagheghi, S. M. Hashemi, R. Tavakkoli-Moghaddam
Summary: This paper presents a new decision support framework for transport projects appraisal, which aims to address both monetary and non-monetary characteristics of the problem. The framework utilizes various uncertainty modeling tools to provide accurate decision support and can effectively support appraisals of transport projects.
IRANIAN JOURNAL OF FUZZY SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Antonio Francisco Roldan Lopez de Hierro, Humberto Bustince, Maria del Mar Rueda, Concepcion Roldan, Laura De Miguel, Carlos Guerra
Summary: In this paper, a fuzzy dispersion measure associated with a finite set of data given by fuzzy numbers is introduced based on the analysis of the most widely used dispersion measure in the real context. This measure is implemented as a fuzzy number, so no information loss is caused by defuzzification. The proposed concept satisfies the usual properties in a genuinely fuzzy sense and removes limitations in terms of geometric shape or analytical properties, allowing negative values in its support. The new notion is a way of fusing information in a fuzzy dataset to make decisions based on dispersion.
INFORMATION FUSION
(2023)
Article
Thermodynamics
Jianli Zhou, Yunna Wu, Chenghao Wu, Feiyang He, Buyuan Zhang, Fangtong Liu
ENERGY CONVERSION AND MANAGEMENT
(2020)
Article
Green & Sustainable Science & Technology
Yunna Wu, Mengyao Hu, Mingjuan Liao, Fangtong Liu, Chuanbo Xu
Summary: Building island microgrid system with abundant renewable energy is an effective way to address power supply difficulty on islands, but it faces challenges in a complex environment. Risk assessment is essential to make full use of renewable energy advantages, and corresponding mitigation strategies should be proposed.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Yunna Wu, Fangtong Liu, Zhongqing Deng, Jiaming He, Chuanbo Xu, Yao Tao, Yiming Ke
Summary: This paper identifies and analyzes obstacles to the development of dispersed wind power through a three-stage process and improved DANP method, finding that lagged unified planning, financial difficulty, and restricted grid access are major obstacles. Suggestions such as building unified coordination platforms and dispersed wind power project groups are proposed.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Thermodynamics
Yunna Wu, Fangtong Liu, Junhao Wu, Jiaming He, Minjia Xu, Jianli Zhou
Summary: Offshore wind-to-hydrogen projects are gaining attention for their environmental advantages, but face barriers hindering their development. This study identifies and analyzes barriers, extracting five critical ones and providing management suggestions for collaborative efforts to overcome them.
Article
Economics
Yunna Wu, Fangtong Liu, Jiaming He, Man Wu, Yiming Ke
Summary: The transportation sector in China is struggling to reduce carbon emissions, with hydrogen fuel cell vehicles showing potential to achieve zero-carbon transportation. However, the promotion of HFCVs is hindered by a variety of obstacles, including economic, technical, social, and political factors. Political and technical obstacles have a more significant impact on the overall system, highlighting the need for targeted strategies to overcome these challenges.
Article
Chemistry, Physical
Man Wu, Yunna Wu, Jiaming He, Minjia Xu, Ting Zhang, Fangtong Liu
Summary: The paper proposes a barrier analysis framework for the application of hydrogen energy storage (HES) in multiple power scenarios using the decision-making trial and evaluation laboratory (DEMATEL) combined with interpretative structural modeling (ISM) method. The study finds that technical barriers, particularly immature hydrogen storage and transportation technology, dominate the impact on HES adoption. High initial investment cost, high P2X conversion costs, and inadequate policy are also crucial factors hindering the development of HES.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Chemistry, Physical
Minjia Xu, Yunna Wu, Yijia Liao, Yao Tao, Fangtong Liu
Summary: The popularity of hydrogen refueling stations in China is hindered by unreasonable site selection and high initial costs. Built gas stations with large consumer groups and reasonable locations can be expanded into oil-hydrogen combined stations, which can effectively reduce construction costs and approval complexity, improve hydrogenation infrastructure, and reduce hydrogenation costs. A decision framework for optimal site selection of oil-hydrogen combined stations was developed in this study to reduce construction costs, transportation costs, and carbon emissions. A two-stage criteria system and multiple methods were utilized to determine the criteria weight and obtain the ranking of alternatives. The most suitable gas station site for the construction of oil-hydrogen combined station was determined through a case study, and the economics of different hydrogen sources were discussed.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Green & Sustainable Science & Technology
Yiming Ke, Wei Liu, Jingxuan Wang, Fangtong Liu
Summary: The strategic emerging industry(SEI) plays an important role in addressing the issues of high energy consumption, high pollution, and low efficiency in traditional production modes. However, there is a lack of studies that quantitatively analyze the input-output relationships and the sustainable development level of SEIs, and the existing method frameworks do not consider the current situation and development potential of SEIs. This research proposes a novel evaluation framework to fill these research gaps, which can guide local government, industry associations, and SEIs themselves in making scientific evaluations and promoting the sustainable development of the industry.
JOURNAL OF CLEANER PRODUCTION
(2023)
