Results 91 to 100 of about 1,594,377 (163)
Arithmetic Operations on Trapezoidal Fuzzy Numbers
Journal of Nonlinear Analysis and Application, 2013 In this paper, several new algebraic mathematics for positive fuzzy numbers of type $(\overline{a}, \overline{\overline{a}}, \overline{\overline{\overline{a}}}, \overline{\overline{\overline{\overline{a}}}})$ are devised and do not need the computation of $\alpha$-cut of the fuzzy number.
J. Vahidi, S. Rezvani
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A Simple Approximation of Productivity Scores of Fuzzy Production Plans [PDF]
This paper suggests a simple approximation procedure for the assessment of productivity scores with respect to fuzzy production plans. The procedure has a clear economic interpretation and all the necessary calculations can be performed in a spreadsheet ...
Jens Leth Hougaard
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, 2020 Pythagorean fuzzy number is a new tool for uncertainty and vagueness. It is a generalization of fuzzy numbers and intuitionistic fuzzy numbers. The paper deals with interval-valued Pythagorean trapezoidal fuzzy numbers.
M. Shakeel; Department of Mathematics, Hazara University Mansehra +3 more
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Scientific ReportsA significant portion of the world’s population relies on rice as a primary source of nutrition. In Malaysia, rice production began in the early 1960s, which led to the cultivation of the country’s most significant food crop up till the present day ...
Muhammad Bilal +5 more
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Ranking fuzzy numbers with integral value
, 2010 [[abstract]]Ranking fuzzy numbers is important in decision making. Since very often the alternatives are evaluated by fuzzy numbers in a vague environment, a comparison between these fuzzy numbers is indeed a comparison between alternatives.
Liou,Tian-Shy;Wang,Mao-Jiun J.
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A Comparative Study of Latin Square Design Under Fuzzy Environments Using Trapezoidal Fuzzy Numbers [PDF]
, 2016 This paper deals with the problem of Latin Square Design (LSD) test using Trapezoidal Fuzzy Numbers (Tfns.). The proposed test is analysed under various types of trapezoidal fuzzy models such as Alpha Cut Interval, Membership Function, Ranking Function,
P. Gajivaradhan, S. Parthiban
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Franklin OpenIn the real world, we are faced with many problems that cannot be easily described by crisp values, as there is always some uncertainty involved in real-life situations and in those situations, we end up receiving fuzzy values rather than crisp ones in ...
Sanjoy Basu, G.S. Mahapatra
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Advances in Fuzzy Systems, 2011 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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Quantified trapezoidal fuzzy numbers
The aim of this work is to construct quantified trapezoidal fuzzy numbers as an extension of trapezoidal fuzzy numbers, by using modal intervals and accepting the possibility that the α-cuts of a trapezoidal fuzzy number may also be improper intervals ...
Jorba, Lambert, Adillón, Román
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A New Approach Ranking of Exponential Trapezoidal Fuzzy Numbers [PDF]
, 2012 45-47The main aim of this paper is to propose a new approach for the ranking of generalized exponential trapezoidal fuzzy numbers. The proposed ranking approach is based on rank and mode so it is named as an RM approach.
Rezvani, S
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