Results 21 to 30 of about 829 (114)
HESITANT Triangular Neutrosophic Numbers and Their Applications to MADM [PDF]
Neutrosophic Sets and Systems, 2020 Hesitant neutrosophic sets can accomodate more uncertainty compare to hesitant fuzzy sets and hesitant intuitionistic sets. On the other hand, triangular neutrosophic numbers are often used by the decision makers to evaluate their opinion in multi ...
Abhijit Saha , Irfan Deli, Said Broumi
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Complexity, 2019 How to aggregate decision information in heterogeneous multiattribute group decision making (HMAGDM) is vital. The aim of this paper is to develop an approach to aggregating decision data into intuitionistic triangular fuzzy numbers (ITFNs) for ...
Jun Xu +4 more
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Technological and Economic Development of Economy, 2016 Decision-making in fuzzy environment is often a very complex, especially when related to predictions and assessments. The Ratio system approach of the MOORA method and Intervalvalued fuzzy numbers have already proved themselves as the effective tools for
Dragisa Stanujkic
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Three-Dimensional Expansion and Graphical Concept of Generalized Triangular Fuzzy Set
Journal of Mathematics, 2022 We have studied the extended algebraic operations between two fuzzy numbers and calculated Zadeh’s max-min composition operator for two generalized triangular fuzzy sets in ℝ2. And we generalized the triangular fuzzy numbers from ℝ2 to ℝ3.
Yong Sik Yun
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Similarity Measures of Sequence of Fuzzy Numbers and Fuzzy Risk Analysis
Advances in Mathematical Physics, 2015 We present the methods to evaluate the similarity measures between sequence of triangular fuzzy numbers for making contributions to fuzzy risk analysis.
Zarife Zararsız
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Defuzzification method for ranking fuzzy numbers based on centroids and maximizing and minimizing set [PDF]
Decision Science Letters, 2019 This paper proposes a new method on ranking fuzzy numbers through the process of defuzzification by using maximizing and minimizing set on the triangular fuzzy numbers formed from generalized trapezoidal fuzzy numbers.
Phani Bushan Rao Peddi
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Fuzzy Cubic Spline Interpolation with Triangular Fuzzy Numbers
International 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
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Solving Fuzzy LR Interval Linear Systems using Nonlinear Programming
Fuzzy Optimization and ModelingIn this paper, we use the least squares method to solve LR fuzzy interval systems by transforming an interval fuzzy number into two triangular fuzzy numbers. Then, we reduce the distance between the two obtained triangular fuzzy numbers to solve the
Khatere Ghorbani-Moghadam +2 more
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Fuzzy Unconstrained Optimization Problems with Triangular Fuzzy Numbers
IOP 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
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Fuzzy Cognitive Maps Reasoning with Words Based on Triangular Fuzzy Numbers [PDF]
, 2018 A pivotal difference between Artificial Neural Networks and Fuzzy Cognitive Maps (FCMs) is that the latter allow modeling a physical system in terms of concepts and causal relations, thus equipping the network with interpretability features. However, such components are normally described by quantitative terms, which may be difficult to handle by ...
Mabel Frias Dominguez +5 more
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