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Fuzzy Number, Fuzzy Difference, Fuzzy Differential: Theory and Applications

open access: yesAxioms
This Topic Issue comprises sixteen pioneering academic papers that delve deeply into the realm of fuzzy reasoning, optimization, decision making, and control [...]
Changyou Wang, Dong Qiu, Yonghong Shen
doaj   +2 more sources

Oriented Fuzzy Numbers vs. Fuzzy Numbers [PDF]

open access: yesMathematics, 2021
A formal model of an imprecise number can be given as, inter alia, a fuzzy number or oriented fuzzy numbers. Are they formally equivalent models? Our main goal is to seek formal differences between fuzzy numbers and oriented fuzzy numbers. For this purpose, we examine algebraic structures composed of numerical spaces equipped with addition, dot ...
Krzysztof Piasecki   +1 more
openaire   +2 more sources

Nearest fuzzy number of type L-R to an arbitrary fuzzy number with applications to fuzzy linear system [PDF]

open access: yesIranian Journal of Numerical Analysis and Optimization, 2023
The fuzzy operations on fuzzy numbers of type L-R are much easier than general fuzzy numbers. It would be interesting to approximate a fuzzy number by a fuzzy number of type L-R.
S.M. Alavi
doaj   +1 more source

A Situational Based Reliability Indices Estimation of ULT Freezer using Preventive Maintenance under Fuzzy Environment [PDF]

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences, 2023
Reliability of high demand machines is quite necessary and it can be maintained through proper and timely maintenance, Ultra-low temperature (ULT) freezer is one of those kinds of machines which are in high demand during covid-19 pandemic for the storage
Pooja Dhiman, Amit Kumar
doaj   +1 more source

Safety Risk Assessment; Using Fuzzy Failure Mode and Effect Analysis and Fault Tree Analysis [PDF]

open access: yesTransactions on Fuzzy Sets and Systems, 2022
The failure mode and effects analysis (FMEA) is a qualitative‎, ‎Inductive and effective method for detecting errors‎, ‎faults‎, ‎and failures in a system and fuzzy logic can improve that technique with more logical outputs‎.
Mazdak Khodadadi-Karimvand   +1 more
doaj   +1 more source

Dual Artificial Variable-Free Simplex Algorithm for Solving Neutrosophic Linear Programming Problems [PDF]

open access: yesNeutrosophic Sets and Systems, 2021
This paper presents a simplified form of dual simplex algorithm for solving linear programming problems with fuzzy and neutrosophic numbers which supplies some great benefits over phase 1 of traditional dual simplex algorithm.
Aya Rabie   +3 more
doaj   +1 more source

Solving fuzzy multiobjective linear bilevel programming problems based on the extension principle [PDF]

open access: yesIranian Journal of Numerical Analysis and Optimization, 2021
Fuzzy multiobjective linear bilevel programming (FMOLBP) problems are studied in this paper. The existing methods replace one or some deterministic model(s) instead of the problem and solve the model(s).
A. Abbasi Molai
doaj   +1 more source

Solving Fully Fuzzy Linear Systems with Triangular and Pentagonal Fuzzy Numbers

open access: yesRatio Mathematica, 2023
In this paper algorithms are proposed to solve fully fuzzy linear system (FFLS) using triangular fuzzy number and pentagonal fuzzy number by converting the system into block system of linear equations known as associated fuzzy system.
Thangaraj Beaula, L Mohan
doaj   +1 more source

A Fuzzy Evaluation Decision Model for the Ratio Operating Performance Index

open access: yesMathematics, 2021
In order to take into account cost and timeliness and enhance accuracy testing, this study developed the fuzzy number and membership function, using the confidence interval of ratio operating performance index.
Mingyuan Li   +3 more
doaj   +1 more source

Building a Software System Using a Spiral Model to Evaluate the Overall Risk of Projects Using Fuzzy Number Theory [PDF]

open access: yesAl-Rafidain Journal of Computer Sciences and Mathematics, 2013
This research aims presented a practical application for the process of assessing the overall risk of the projects following the risk management in software engineering steps, the life cycle is the most famous in this area is a (Spiral Model), this model
Jamal Sayed Majeed, Ro’a Amer Hussain
doaj   +1 more source

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