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[PDF] Top 20 A new interval-valued approximation of interval-valued fuzzy numbers

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A new  interval-valued approximation of interval-valued fuzzy numbers

A new interval-valued approximation of interval-valued fuzzy numbers

... a new interval-valued approximation of interval-valued fuzzy numbers, which is the best one with respect to a new measure of distance between ... See full document

8

A new method to construct entropy of interval-valued Neutrosophic Set

A new method to construct entropy of interval-valued Neutrosophic Set

... Abstract Interval-valued neutrosophic set (INS) is a generalization of fuzzy set (FS) that is designed for some practical situations in which each element has different truth membership ... See full document

4

A new view to uncertainty in Electre III method by introducing interval numbers

A new view to uncertainty in Electre III method by introducing interval numbers

... terms of m attributes , , … , . The weighted coefficients of attributes are , , … , ...performance of the i-th alternative with respect to the j th ... See full document

6

Soft sets combined with interval valued intuitionistic fuzzy sets of type-2 and rough sets

Soft sets combined with interval valued intuitionistic fuzzy sets of type-2 and rough sets

... lack of knowledge/data. In general a fuzzy set may be viewed as a class with unsharp boundaries, but a rough set is a coarsely described crisp ...universe of discourse, Dubois andPrade[6] introduced ... See full document

20

Value and ambiguity index based ranking method of single-valued trapezoidal neutrosophic numbers and its application to multi-attribute decision making

Value and ambiguity index based ranking method of single-valued trapezoidal neutrosophic numbers and its application to multi-attribute decision making

... capable of dealing with imprecise or vague information in decision making process, whose basic compo- nent is a membership function lying in the unit interval [0, ...1]. Fuzzy number [2, 3] is a ... See full document

12

On Computing the Minimal Latest Starting Times of Activities in Interval-Valued Networks with Generalized Precedence Relations

On Computing the Minimal Latest Starting Times of Activities in Interval-Valued Networks with Generalized Precedence Relations

... work of Zadeh [32], other researchers in this field have recommended the use of fuzzy numbers for modeling activity durations rather than stochastic ...variables. Fuzzy critical path ... See full document

5

Sensitivity Analysis for Interval-valued Fully Fuzzy Linear Programming Problems

Sensitivity Analysis for Interval-valued Fully Fuzzy Linear Programming Problems

... values of the membership of an element, in a fuzzy set, are represented by a real number in [0, 1] but a specialist is always uncertain about the values of the ...values of the ... See full document

14

Soft Interval-Valued Neutrosophic Rough Sets

Soft Interval-Valued Neutrosophic Rough Sets

... rough fuzzy sets, fuzzy rough sets, generalized fuzzy rough, rough intuitionistic fuzzy set, intuitionistic fuzzy rough sets ...subset of objects of the universe by two ... See full document

12

Interpolative relations and interpolative preference structures

Interpolative relations and interpolative preference structures

... fields of theory and ...gradation of relations is immanent, the classical relations are not ...(as fuzzy relations) are the generalization of classical relations so that the value (intensity) ... See full document

19

ON INTERVAL ESTIMATING REGRESSION

ON INTERVAL ESTIMATING REGRESSION

... the interval sense. This difference is caused in general by the phenomenon of interval ...the interval a in the nominator and the denominator of the fraction has the same value from the ... See full document

9

A set-valued framework for coordinated motion control of networked vehicles

A set-valued framework for coordinated motion control of networked vehicles

... all of the entities, their dynamic behavior, and the relations among ...tions of interest for us are (1) services and their compo- sition; (2) services and their physical implementation; (3) services and ... See full document

7

A new fuzzy algorithm for ecological ranking

A new fuzzy algorithm for ecological ranking

... a new tool called FuzRnk is proposed as a modification of classic fuzzy ...a fuzzy ranking of GIS objects ...classic fuzzy algorithm, FuzRnk introduces two modifications: a) ... See full document

3

Prod.  vol.25 número4

Prod. vol.25 número4

... subject of research and could possibly collaborate with ...company of the wood sector – and, more specifically, devoted to furniture manufacturing – was selected for our ...points of view of a ... See full document

14

The Interval Constructor on classes of ML-algebras

The Interval Constructor on classes of ML-algebras

... We had introduced a semantic for fuzzy logic using bounded lattices in [BS05], where we generalized the propositional classic connectives and fuzzy and interval fuzzy connectives using t[r] ... See full document

75

J. Braz. Comp. Soc.  vol.12 número4

J. Braz. Comp. Soc. vol.12 número4

... response of several practical microwave channels obtained from field measurements using a high fractionally-spaced sampling rate (tens of megabauds per ...requirements of the study, without losing ... See full document

8

Constraint Solving over Multi-valued Logics

Constraint Solving over Multi-valued Logics

... shortage of resources, and the dishwasher lacks of diagnosis capabilities, then it may poorly wash or even going out of order because of insufficient hot ...form of feedback) and review ... See full document

197

Set-Consensus using Set-Valued Observers

Set-Consensus using Set-Valued Observers

... Introduction Problem Statement Proposed Solution Main Properties Simulation Results Concluding Remarks Set Consensus.. A group of n nodes is trying to achieve consensus.[r] ... See full document

20

Fuzzy Time Series Forecasting based on Grey Model and Markov Chain

Fuzzy Time Series Forecasting based on Grey Model and Markov Chain

... prices of oil, stock, or gold, the daily air temperature, and the exchange rate, the observed data fluctuate at any ...using interval fuzzy numbers to represent these data is more reasonable ... See full document

9

HYBRID INVERSION OF INTERVAL VELOCITIES IN MULTISCALE APPROACH

HYBRID INVERSION OF INTERVAL VELOCITIES IN MULTISCALE APPROACH

... number of variables grows, it becomes increasingly diffi- cult to perform inversion ...number of parameters is significantly large, it becomes imprac- ticable to use this type of method ...use ... See full document

9

420 FUZZY LINEAR PROGRAMMING: OPTIMIZATION OF AN ELECTRIC CIRCUIT MODEL

420 FUZZY LINEAR PROGRAMMING: OPTIMIZATION OF AN ELECTRIC CIRCUIT MODEL

... One of the important issues of LP is that the modeling needs well-defined and precise data, which in general involves high information ...problem of the classical LP can be contoured with the use ... See full document

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