Results 11 to 20 of about 151,921 (279)
Fuzzy Probability Spaces and Their Applications in Decision Making
In this paper, two types of fuzzy probability spaces will be introduced and their applications in methods of decision making under risk (especially in the Decision Matrix Method) will be described. First, a fuzzy probability space that generalizes the classical probability space (Rn; Bn; p) to the situation of fuzzy random events will be studied.
Jana Talašová, Ondřej Pavlačka
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A study is conducted on solving stochastic transportation linear programming problems with fuzzy uncertainty information on probability distribution space (STLPPFI) model problems. A proposed method utilizes the concepts of alpha-cut technique with truth degrees technique on probability distribution, linear fuzzy membership function (LFMF), linear ...
Halgurd Namiq Azeez Azeez +1 more
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Research on Generalized Sugeno Fuzzy Probability Integral Based on t-Modular Operator
Fuzzy probability integral is an important part of fuzzy mathematics,and it is an integral form which combines fuzzy probability with integral. In this paper,a quasi-multiplication operator and a quasi-sum operator are designed by using the definition ...
ZHANO Hui, JIANG Xin-ge, SHAN Yun-xiao
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Q-Fuzzy Probability Integration on Triangular Modulus and Its Application Model
For the newly designed pair of q-Fuzzy sum operators and q-Fuzzy product operators, it is proved that they meet the conditions of T triangular modulus and S triangular modulus, and then a k-fuzzy measure is defined, and q-Fuzzy and probability integral ...
WANG Yue, ZHAO Hui, WU Lunhua
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On Another Type of Convergence for Intuitionistic Fuzzy Observables
The convergence theorems play an important role in the theory of probability and statistics and in its application. In recent times, we studied three types of convergence of intuitionistic fuzzy observables, i.e., convergence in distribution, convergence
Katarína Čunderlíková
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In this paper, we used the definition of fuzzy vector spaces and fuzzy subsets in combination in order to define fuzzy codes over a fuzzy vector space.
Mezgebu Manmekto Gereme +2 more
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Modeling the decision-making problem for multi-connected technical systems based on expert knowledge [PDF]
The problem of evaluating the effectiveness of a carousel-type grain dryer is considered. To solve this problem, we used the fuzzy-probability approach of Zadeh-Mamdani, based on expert knowledge.
Kerimov Mukhtar +2 more
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Pythagorean m-polar Fuzzy Neutrosophic Metric Spaces [PDF]
Neutrosophy deals with the study of neutrosophic logic, set and probability. A Pythagorean m polar neutrosophic set is indeed an expansion of crisp, fuzzy, intuitionistic fuzzy, neutrosophic and Pythagorean m-polar fuzzy sets.
Atiqa Siraj, Khalid Naeem, Said Broumi
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Fixed Point Results in Orthogonal Neutrosophic Metric Spaces
Neutrosophy deals with neutrosophic logic, probability, and sets. Actually, the neutrosophic set is a generalization of the classical set, fuzzy set, and intuitionistic fuzzy set.
Umar Ishtiaq +5 more
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Binary Fuzzy Codes and Some Properties of Hamming Distance of Fuzzy Codes
In this paper, we discussed binary fuzzy codes over a vector space F2n by relating classical codes with the probability of a binary symmetric channel (BSC) for receiving a sent codeword correctly. We used the weight of error patterns between a received
Mezgebu Manmekto Gereme +2 more
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