Results 71 to 80 of about 30,457 (257)
Engineering Reports, Volume 8, Issue 6, June 2026.In this study, a fuzzy logistic regression framework based on asymmetric Z‐numbers is introduced. The proposed model is designed to explicitly incorporate data uncertainty and expert‐defined linguistic information into the diagnostic process. The results demonstrate improved diagnostic performance compared to conventional machine learning methods under
M. Habibi Ganjgah +2 more
wiley +1 more source
IEEE Access, 2020 Multi-attribute decision-making problems under the trapezoidal fuzzy neutrosophic numbers environment are complex, particularly when the attribute value data are incomplete, and the attribute weight is completely unknown.
Ruipu Tan, Wende Zhang, Shengqun Chen
doaj +1 more source
An Alternative Ranking Approach and Its Usage in Multi-Criteria Decision-Making [PDF]
International Journal of Computational Intelligence Systems, 2009 In the process of fuzzy decision-making, ranking of fuzzy numbers is a necessity. The types of fuzzy numbers are triangular, trapezoidal, and L-R type. In the literature, there are many methods developed for ranking fuzzy numbers.
Cengiz Kahraman, A. Cagri Tolga
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A Generalization of Trapezoidal Fuzzy Numbers Based on Modal Interval Theory [PDF]
, 2017 We propose a generalization of trapezoidal fuzzy numbers based on modal interval theory, which we name 'modal interval trapezoidal fuzzy numbers'. In this generalization, we accept that the alpha cuts associated with a trapezoidal fuzzy number can be ...
Jorba, Lambert +3 more
core +1 more source
Engineering Reports, Volume 8, Issue 6, June 2026.Secretary Bird Optimization Algorithm (SBOA)‐optimized parallel two‐level fuzzy tilt‐derivative (TLF‐TDN) controller enhances automatic generation control in multi‐area hydro–thermal–wind systems with AC/HVDC links and SCESS. It effectively suppresses frequency deviations and tie‐line oscillations, ensuring faster settling, improved dynamic stability ...
Getaneh Mesfin Meseret +1 more
wiley +1 more source
Multiplication Operation on Trapezoidal Fuzzy Numbers [PDF]
, 2011 17-26In this paper, a methods for solving multiplication operation of two trapezoidal fuzzy numbers are given. The analytical method is most precise, but it is hard to α- cuts interval when the membership function is complicated.
Taleshian, A, Rezvani, S
core
Analytical Formulations for the Level Based Weighted Average Value of Discrete Trapezoidal Fuzzy Numbers [PDF]
International Journal on Soft Computing, 2018 In fuzzy decision-making processes based on linguistic information, operations on discrete fuzzy numbers are commonly performed. Aggregation and defuzzification operations are some of these often used operations.
Resmiye Nasiboglu, R. Abdullayeva
semanticscholar +1 more source
APPLICATION OF FUZZY ELECTRE METHOD WITH TRAPEZOIDAL FUZZY NUMBERS
World Science, 2021 The article is devoted to the problem of multi-criteria decision-making. Methods for solving this problem can be divided into two large groups:methods using the aggregation of all alternatives according to all criteria and the solution of the resulting single-criterion problem.
openaire +2 more sources
International Journal of Management and Fuzzy Systems, 2019 This paper will discuss algebraic modification of trapezoidal fuzzy numbers with a general form of fully fuzzy numbers is with is n × n fuzzy matrix, fuzzy vector, and unknown fuzzy vector.
Ahmad Syaiful Abidin +2 more
semanticscholar +1 more source
Denoising Diffusion Model With Pixel‐Adaptive Convolutions for Sheet Metal Forming Analysis
Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.ABSTRACT Traditional tool development processes in mechanical forming, especially for pressing tools, are often limited by time‐consuming trial‐and‐error cycles, which rely heavily on expert knowledge. These cycles can create bottlenecks and increase costs.
Syed Sarim Ali +3 more
wiley +1 more source