Article
Computer Science, Artificial Intelligence
Ridwan Pandiya, Gita Fadila Fitriana, Faisal Dharma Adhinata, Tenia Wahyuningrum
Summary: This paper introduces the methods of fuzzy analytic hierarchy process and logarithmic fuzzy preference programming, as well as the problems encountered in their application. It proposes an improved non-parameter transcendental fuzzy preference programming method, which is more reliable and efficient in obtaining optimal weights.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Mathematics, Applied
Serkan Akbas, Turkan Erbay Dalkilic
Summary: With the development of technology, investors are increasingly relying on computer software to guide their investments. This study proposes a two-stage portfolio selection model that considers investment data and expert opinions to address the issue of investors achieving the same expected return and risk level. By developing mathematical models suitable for trapezoidal fuzzy numbers, a new hybrid portfolio selection algorithm is introduced. The algorithm is tested using stock data from the Dow Jones Index, comparing total return amounts obtained by different methods for investment in January 2021.
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
(2021)
Article
Computer Science, Artificial Intelligence
Busra Buran, Mehmet Ercek
Summary: This study presents a business model canvas framework for public transportation organizations and evaluates the proposed model using fuzzy analytic hierarchy process method and two extensions. The results show that the internal environment is the most important criterion and IF-AHP and SF-AHP provide similar weight results.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Engineering, Civil
Abdol Rassoul Zarei, Mohammad Reza Mahmoudi
Summary: This study assessed and predicted the vulnerability of Fars province to agrometeorological drought using 18 effective indicators and methods such as Fuzzy-AHP and second-order Markov chain. The results showed that the rain-fed cultivated area and slop were the most influential factors on drought vulnerability. The area was classified into moderate and severe vulnerability classes, with trends of decreasing and increasing vulnerability over the years.
WATER RESOURCES MANAGEMENT
(2022)
Article
Computer Science, Interdisciplinary Applications
Xuan Yang
Summary: This study introduces the concept of non-reciprocal fuzzy preference relations (NrFPRs) and proposes double-variance-based measuring formulas to compute the additive consistency indices. However, the study reveals that some properties and formulas proposed by previous researchers are incorrect, leading to redefining NrFPRs and developing new calculation methods.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Xuan Yang
Summary: This study introduces the concept of non-reciprocal fuzzy preference relations (NrFPRs) and presents measuring formulas and models to compute additive consistency indices and acquire priority weight vectors from NrFPRs. It identifies issues with previous properties and proposes redefined definitions and improved approaches.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Chemistry, Multidisciplinary
Woochul Choi, Bongjoo Jang, Intaek Jung, Hongki Sung, Younmi Jang
Summary: This study presents a thermal camera-based abnormal-situation detection service and proposes an integrated Fuzzy AHP/TOPSIS model to support the decision-making process of introducing thermography cameras. The findings show that developers highly value services that can detect temperature changes to identify early signs of dangerous situations, while local governments prioritize control services related to citizen safety.
APPLIED SCIENCES-BASEL
(2023)
Article
Mathematics
Svajone Bekesiene, Aidas Vasilis Vasiliauskas, Sarka Hoskova-Mayerova, Virgilija Vasiliene-Vasiliauskiene
Summary: This paper presents the application of Fuzzy AHP-TOPSIS hybrid method in distance learning quality assessment surveys. Thirty-four judges with specific knowledge and skills were chosen to evaluate three alternatives by fourteen criteria, and statistical analysis was used to process the data. The study further provides useful guidelines for the development of an easily understandable hierarchy of criteria model reflecting the main goal of study quality assessment.
Article
Multidisciplinary Sciences
Atiq Ur Rehman, Andrii Shekhovtsov, Nighat Rehman, Shahzad Faizi, Wojciech Salabun
Summary: The study introduces a consensus-based technique for selecting and evaluating suppliers in an incomplete fuzzy preference relations environment using the T-L transitivity, presenting more acceptable and efficient outcomes in the multi-criteria decision-making process.
Article
Computer Science, Artificial Intelligence
Zeynep Aydinalp Birecik, Dogan Oezgen
Summary: The green capacitated vehicle routing problem (GCVRP) has become a significant research topic due to the increasing global climate issues. This study presents an interactive fuzzy approach to solve GCVRP with imprecise travel time and supplier demands. The proposed model considers two objective functions: minimum fuel consumption and maximum green score. The model is applied to an automotive company in Turkey and provides a suggestion for vehicle routing.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Environmental Sciences
Leyla Derin Cengiz, Murat Ercanoglu
Summary: A new data-driven fuzzy AHP method (FR-AHP) is proposed for landslide susceptibility mapping. The method is compared with FEA and FGM methods in a region in Turkey, and the AUC values are calculated. The results show that the FR-AHP method has the potential to be a feasible, objective, and high-performance approach.
ENVIRONMENTAL EARTH SCIENCES
(2022)
Article
Computer Science, Artificial Intelligence
Dimple Rani, Harish Garg
Summary: This paper presents single and group decision-making methods based on complex intuitionistic fuzzy preference relations (CIFPRs), including introducing the concept of CIFPRs, establishing two goal programming models, and developing algorithms for handling decision-making problems. The practicality of the algorithms is demonstrated through application to real-life problems.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
E. Torres-Manzanera, S. Diaz, F. Chiclana, S. Montes
Summary: This study completes an incomplete fuzzy weak preference relation in a consistent way to derive a preference relation that preserves the original information. A complete transitive preference relation is obtained if the decision maker is coherent, while a degree of transitivity is defined to provide the most coherent preference relation when preference values violate transitivity.
INFORMATION FUSION
(2022)
Article
Environmental Sciences
Marzieh Mokarram, Saeed Negahban, Ali Abdolali, Mohammad Mehdi Ghasemi
Summary: This study utilized GIS to determine suitable locations for ARG, assigning weights to different parameters using AHP and OWA methods. ANFIS method was used to predict land suitability classes, while best subset regression identified key ARG parameters.
ENVIRONMENTAL EARTH SCIENCES
(2021)
Article
Green & Sustainable Science & Technology
Samantha Islam, Louise Manning, Jonathan M. Cullen
Summary: The paper presents a hybrid approach combining fuzzy Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) with integer linear programming to select the optimum traceability technologies for improving sustainable performance in cold food supply chains.
This methodology can assist decision-makers in identifying the best combination of technologies for a given food supply chain scenario and reducing food loss at minimum cost.
Article
Computer Science, Interdisciplinary Applications
Xiaolin Wang, Liyi Zhan, Yong Zhang, Teng Fei, Ming-Lang Tseng
Summary: This study proposes an environmental cold chain logistics distribution center location model to reduce transportation costs and carbon emissions. It also introduces a hybrid arithmetic whale optimization algorithm to overcome the limitations of the conventional algorithm.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Hong-yu Liu, Shou-feng Ji, Yuan-yuan Ji
Summary: This study proposes an architecture that utilizes Ethereum to investigate the production-inventory-delivery problem in Physical Internet (PI), and develops an iterative heuristic algorithm that outperforms other algorithms. However, due to gas prices and consumption, blockchain technology may not always be the optimal solution.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Paraskevi Th. Zacharia, Elias K. Xidias, Andreas C. Nearchou
Summary: This article discusses the assembly line balancing problem in production lines with collaborative robots. Collaborative robots have the potential to improve automation, productivity, accuracy, and flexibility in manufacturing. The article explores the use of a problem-specific metaheuristic to solve this complex problem under uncertainty.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
