Results 21 to 30 of about 38,468 (310)
Near Fixed Point Theorems in the Space of Fuzzy Numbers
The fuzzy numbers are fuzzy sets owning some elegant mathematical structures. The space consisting of all fuzzy numbers cannot form a vector space because it lacks the concept of the additive inverse element.
Hsien-Chung Wu
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In this paper, the researcher proposed a method to cardinal, median value, variance and covariance of exponential fuzzy numbers with shape function . The covariance used in this method is obtained from the exponential trapezoidal fuzzy number, first by ...
S. Rezvani
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Solving semi-fully fuzzy linear programming problems [PDF]
The aim of this paper is to introduce a new technique for improve the methods for solving the Semi-fully Fuzzy Linear Programming Problems. An algorithm is proposed to find the fuzzy optimal solution of Semi-fully Fuzzy Linear Programming Problems.
Ladji Kane +5 more
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Fuzzy Semi-Numbers and Their Elementary Arithmetic With a Medical Case Study
A new methodology for processing non-normal fuzzy sets is proposed. To break the predominant constraint on normality of fuzzy numbers the concept of fuzzy semi-numbers is introduced Then it is shown how to generalize operations defined on fuzzy numbers ...
Sh. Yeganehmanesh +2 more
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Ranking fuzzy numbers using preference ratio: A utility function approach [PDF]
Ranking fuzzy numbers is one of the most important phases in any decision making process in fuzzy environments. In most cases, we deal with fuzzy numbers in the field of evaluating alternatives with fuzzy information or linguistic variables.
Soheil Sadi-Nezhad +1 more
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Pythagorean Fuzzy Numbers are more capable of modeling uncertainties in real-life decision-making situations than Intuitionistic Fuzzy Numbers. Majority of research in Pythagorean Fuzzy Numbers, used in Multiple Criteria Decision-Making problems, has ...
Alaa F. Momena, Nidal Abu-Zahra
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Ranking fuzzy numbers are an important aspect of decision making in a fuzzy environment. Since their inception in 1965, many authors have proposed different methods for ranking fuzzy numbers. However, there is no method which gives a satisfactory result
P. Phani Bushan Rao, N. Ravi Shankar
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The purpose of this paper is to introduce interaction partitioned Bonferroni mean operators under dual hesitant q-rung orthopair fuzzy environment. Motivated by the idea of q-rung orthopair fuzzy interaction operational laws, partitioned Bonferroni mean,
Lu Zhang, Yabin Shao, Ning Wang
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A Method for Ordering of LR-Type Fuzzy Numbers: An Important Decision Criteria
Methods for ordering fuzzy numbers play an important role as decision criteria, with applications in areas such as optimization and data mining, among others. Although there are several proposals for ordering methods in the fuzzy literature, many of them
José A. González Campos +1 more
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Solution of generalised type – 2 Fuzzy boundary value problem
In this article, we proposed a new representation of type-2 fuzzy numbers called generalized type-2 fuzzy numbers. Dirichlet, Neumann and Mixed kind of boundary value problem have been considered with the boundary condition as generalized type-2 fuzzy ...
S. Tudu +5 more
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