Results 21 to 30 of about 64,219 (248)

Clustering of Fuzzy Data Sets Based on Particle Swarm Optimization With Fuzzy Cluster Centers [PDF]

open access: yesInternational Journal of Industrial Engineering and Production Research, 2022
In current study, a particle swarm clustering method is suggested for clustering triangular fuzzy data. This clustering method can find fuzzy cluster centers in the proposed method, where fuzzy cluster centers contain more points from the corresponding ...
seyed hamid zahiri   +2 more
doaj  

A New Method to Support Decision-Making in an Uncertain Environment Based on Normalized Interval-Valued Triangular Fuzzy Numbers and COMET Technique

open access: yesSymmetry, 2020
Multi-criteria decision-making (MCDM) plays a vibrant role in decision-making, and the characteristic object method (COMET) acts as a powerful tool for decision-making of complex problems.
Shahzad Faizi   +4 more
semanticscholar   +1 more source

Fuzzy Unconstrained Optimization Problems with Triangular Fuzzy Numbers

open access: yesIOP Conference Series: Materials Science and Engineering, 2020
Abstract In this paper, we consider an unconstrained optimization problem with fuzzy valued functions. Using generalized Hukuhara differentiability of fuzzy functions in Newton’s method, we obtain an optimal solution of fuzzy unconstrained optimization problem without transforming to crisp equivalent form. Numerical examples are provided
P Umamaheswari, K Ganesan
openaire   +1 more source

A Supplier Selection Model Using the Triangular Fuzzy-Grey Numbers

open access: yesIEEE Access, 2023
Selecting suppliers involves making decisions based on multiple criteria and options, making it a multi-criteria decision-making (MCDM) problem. Optimal decisions can help the entire supply chain to reduce costs and increase efficiency.
Shervin Zakeri   +3 more
semanticscholar   +1 more source

Grey Fuzzy Multiple Attribute Group Decision-Making Methods Based on Interval Grey Triangular Fuzzy Numbers Partitioned Bonferroni Mean

open access: yesSymmetry, 2020
Considering the characteristics such as fuzziness and greyness in real decision-making, the interval grey triangular fuzzy number is easy to express fuzzy and grey information simultaneously.
K. Yin, Benshuo Yang, Xue Jin
semanticscholar   +1 more source

Triangular fuzzy quadripartitioned neutrosophic set and its properties [PDF]

open access: yesNeutrosophic Sets and Systems
The main objective of the paper is to hybridize the triangular fuzzy number and the quadripartitioned neutrosophic set and develop the triangular fuzzy quadripartitioned neutrosophic set.
Tanmoy Chatterjee, Surapati Pramanik
doaj   +1 more source

Triangular Fuzzy Metric [PDF]

open access: yesمجلة جامعة النجاح للأبحاث العلوم الطبيعية, 1994
This paper presents a new method to rank triangular fuzzy numbers as well as a new metric (triangular fuzzy metric) on the set of fuzzy points. This metric can be used in both studying fuzzy topological spaces and decision-making theory.
Mohammad A. Mahmoud Al-Amleh
doaj   +1 more source

Fuzzy Cubic Spline Interpolation with Triangular Fuzzy Numbers

open access: yesInternational Journal of Recent Technology and Engineering (IJRTE), 2020
In applied mathematics, the salient and engrossing aspect is how to best approximate a function in a given space. In this paper a cubic spline polynomial approximation as best approximations of fuzzy function on a discrete set of points. In this work a novel approach is adopted to show this method using Triangular fuzzy numbers.
A. Karpagam*, V. Vijayalakshmi
openaire   +1 more source

Aggregation Operators on Triangular Intuitionistic Fuzzy Numbers and its Application to Multi-Criteria Decision Making Problems

open access: yesFoundations of Computing and Decision Sciences, 2014
The aim of this work is to present some aggregation operators with triangular intuitionistic fuzzy numbers and study their desirable properties. Firstly, the score function and the accuracy function of triangular intuitionistic fuzzy number are given ...
Liang Changyong   +2 more
doaj   +1 more source

Total Ordering on Generalized ‘n’ Gonal Linear Fuzzy Numbers

open access: yesInternational Journal of Computational Intelligence Systems, 2023
Zadeh introduced fuzzy sets to study imprecision in real life after which many generalizations have been developed in literature. Fuzzy numbers is the major research area of study because of its needfulness for modeling qualitative and imprecise ...
Lakshmana Gomathi Nayagam Velu   +1 more
doaj   +1 more source

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