Results 31 to 40 of about 494,392 (341)
Controlled Fuzzy Parallel Rewriting [PDF]
, 1996 We study a Lindenmayer-like parallel rewriting system to model the growth of filaments (arrays of cells) in which developmental errors may occur. In essence this model is the fuzzy analogue of the derivation-controlled iteration grammar.
Asveld, Peter R.J.
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Journal of Mathematical Analysis and Applications, 1983 AbstractFuzzy numbers have been introduced by Zadeh in order to deal with imprecise numerical quantities in a practical way. We consider eight classes of fuzzy numbers. We define nine operations for the addition of these fuzzy numbers and we investigate interrelationships between these operations.
Dijkman, J.G +2 more
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Fuzzy Distance of Trapezoidal Fuzzy Numbers [PDF]
Advances in Intelligent Systems Research, 2006 Fuzzy distance is applied on data analysis, classification, and product positioning analysis widely. In this paper, We introduce a fuzzy distance by using graded mean integration representation of generalized fuzzy number and the span of fuzzy number, We also discuss the distance of the linguistic data of “greater or less than x” and “about x”.
Chien-Chung Wang, Shan Huo Chen
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Vendor-Buyers relationship model for deteriorating items with shortages, fuzzy trapezoidal costs and inflation [PDF]
Yugoslav Journal of Operations Research, 2013 In this paper, an integrated inventory model is developed from the perspective of a single vendor and multi-buyers for deteriorating items under fuzzy environment and inflation. In the development of the model, it is assumed that all costs parameters,
Singh Chaman, Singh S.R.
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Supervisory Control of Fuzzy Discrete Event Systems: A Formal Approach
, 2005 Fuzzy {\it discrete event systems} (DESs) were proposed recently by Lin and Ying [19], which may better cope with the real-world problems with fuzziness, impreciseness, and subjectivity such as those in biomedicine.
Qiu, Daowen
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Neuro-Fuzzy Computing System with the Capacity of Implementation on Memristor-Crossbar and Optimization-Free Hardware Training [PDF]
, 2012 In this paper, first we present a new explanation for the relation between logical circuits and artificial neural networks, logical circuits and fuzzy logic, and artificial neural networks and fuzzy inference systems.
Merrikh-Bayat, Farnood +2 more
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Axioms, 2023 Investment management is a common process and practice used for achieving a desirable investment goal or outcome. Unfortunately, the systematic variation of economic situations in the marketplace effects the continuous and frequent change of investment ...
Kamala Aliyeva +3 more
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Convergence of Complex Fuzzy一valued Function Defined in Complex Fuzzy Number
Journal of Harbin University of Science and Technology, 2017 The author defines all fuzzy number which are symmetric respect to y-axis as zero fuzzy number，on the basis，the author defines the limitation of complex fuzzy-valued function and discusses the properties of convergence.
BI Shu-juan, XU Ya-Lan, CAO Hui
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Improving Air Transportation by Using the Fuzzy Origin–Destination Matrix
Mathematics, 2021 The work is devoted to the development of new methods and algorithms to support decision making when planning air travel using uncertainties in the form of fuzzy numbers.
Vladimir Sudakov
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Notes on noncommutative supersymmetric gauge theory on the fuzzy supersphere
, 2007 In these notes we review Klimcik's construction of noncommutative gauge theory on the fuzzy supersphere. This theory has an exact SUSY gauge symmetry with a finite number of degrees of freedom and thus in principle it is amenable to the methods of matrix
Alekseev A. Y. +7 more
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