Results 11 to 20 of about 384 (194)

Ranking method of Pythagorean fuzzy numbers characterized by curved trapezoidal area(基于曲边梯形面积刻画毕达哥拉斯模糊数的排序方法)

open access: yesZhejiang Daxue xuebao. Lixue ban, 2022
毕达哥拉斯模糊集(Pythagorean fuzzy set,PFS)是传统直觉模糊集(intuitionistic fuzzy set,IFS)的扩展,能在更广泛区域处理多属性信息决策问题。首先,针对某文献毕达哥拉斯模糊数(Pythagorean fuzzy number,PFN)排序方法存在的错误,分析了其产生原因。其次,在毕达哥拉斯模糊环境下,基于可靠信息量所对应的曲边梯形面积(curved trapezoidal area,CTA)提出了新的得分函数公式,进而给出了PFN的排序准则 ...
TAOYujie(陶玉杰)   +1 more
doaj   +2 more sources

Analytical Hierarchy Process based on intuitionistic interval approximation of trapezoidal intuitionistic fuzzy numbers

open access: yesData Analytics and Applied Mathematics
The fuzzy Analytical Hierarchy Process (AHP) is a method in fuzzy decision-making, which helps decision makers make the best choice of alternatives when dealing with uncertainty.
Nik Muhammad Farhan Hakim Nik Badrul Alam   +2 more
doaj   +2 more sources

A Grey-Based Fuzzy ELECTRE Model for Project Selection [PDF]

open access: yesJournal of Optimization in Industrial Engineering, 2015
Project selection is considered as an important problem in project management. It is multi-criteria in nature and is based on various quantitative and qualitative factors.
Farshad Faezy Razi
doaj   +1 more source

Finding Shortest Path in a Network Using Trapezoidal Intuitionistic Fuzzy Number

open access: yes, 2019
In this paper, we present an algorithm to find the shortest path from a source node to a destination node on a network using α-cut and Euclidean distance.
Harshini K, Maheswari D
core   +3 more sources

Bayesian Uncertainty Inferencing for Fault Diagnosis of Intelligent Instruments in IoT Systems

open access: yesApplied Sciences, 2023
Intelligent instruments are common components in industrial machinery, and fault diagnosis in IoT systems requires the handling of real-time sensor data and expert knowledge.
Qing Liu, Chengcheng Wang, Qiang Wang
doaj   +2 more sources

Linear programming model for solution of matrix game with payoffs trapezoidal intuitionistic fuzzy number

open access: yesBulletin of Computational Applied Mathematics, 2016
In this work, we considered two-person zero-sum games with fuzzy payoffs and matrix games with payoffs of trapezoidal intuitionistic fuzzy numbers (TrIFNs). The concepts of TrIFNs and their arithmetic operations were used.
Darunee Hunwisai, Poom Kumam
doaj   +1 more source

A new approach for ranking of intuitionistic fuzzy numbers [PDF]

open access: yesJournal of Fuzzy Extension and Applications, 2020
The concept of an intuitionistic fuzzy number (IFN) is of importance for representing an ill-known quantity. Ranking fuzzy numbers plays a very important role in the decision process, data analysis and applications. The concept of an IFN is of importance
Suresh Mohan   +2 more
doaj   +1 more source

An Approach to Multiple Attribute Group Decision Making Based on Intuitionistic Trapezoidal Fuzzy Power Generalized Aggregation Operator [PDF]

open access: yesInternational Journal of Computational Intelligence Systems, 2014
With respect to multiple attribute decision making (MADM) problems in which the attribute value takes the form of intuitionistic trapezoidal fuzzy number, a new decision making analysis method is developed.
Peide Liu, Ying Liu
doaj   +1 more source

Application of Single Valued Trapezoidal Neutrosophic Numbers in Transportation Problem [PDF]

open access: yesNeutrosophic Sets and Systems, 2020
In the present paper, we introduced the concept of single valued trapezoidal neutrosophic number, which is generalization of single valued neutrosophic number. A generalization of crisp, fuzzy and intuitionistic fuzzy sets represents as neutrosophic sets,
Rajesh Kumar Saini   +2 more
doaj   +1 more source

A Total Ordering on n-Valued Refined Neutrosophic Sets using Dictionary Ranking based on Total ordering on n - Valued Neutrosophic Tuplets [PDF]

open access: yesNeutrosophic Sets and Systems, 2023
The notion of fuzzy subsets was first introduced by Zadeh in 1965, and was later extended to intuitionistic fuzzy subsets by Atanassov in 1983. Since the inception of fuzzy set theory, we have encountered a number of generalizations of sets, one of which
V. Lakshmana Gomathi Nayagam   +1 more
doaj   +1 more source

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