Displaying similar documents to “A new approach to nonlinear modelling of dynamic systems based on fuzzy rules”

Modeling a fuzzy coprocessor and its programming language.

Ricardo García Rosa, Teresa de Pedro Lucio (1998)

Mathware and Soft Computing

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A computational model for a fuzzy coprocessor (types and structures of data and the set of instructions) is proposed. The coprocessor will be charged only of the typical operations of fuzzy logic as calculating membership degrees, unions and intersections of fuzzy sets, fuzzy inferences, defuzzifications and so on. One main novelty is that the programming language admits fuzzy rules conditions in which there would be linguistic edges preceding the predicates and the coprocessor is designed...

A language for expressing fuzzy temporal rules.

Purificación Cariñena, Alberto Bugarín, Manuel Mucientes, Senén Barro (2000)

Mathware and Soft Computing

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This paper deals with the formal description of what we call Fuzzy Temporal Propositions: propositions with explicitly expressed information of a temporal type. The set of syntactic rules that make a grammar up for defining a language for this kind of propositions is presented. For some of the rules, examples that illustrate the expressive power of this type of knowledge representation are introduced. Semantic criteria and definitions are also introduced through examples in order to...

Interpretability of linguistic variables: a formal account

Ulrich Bodenhofer, Peter Bauer (2005)

Kybernetika

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This contribution is concerned with the interpretability of fuzzy rule-based systems. While this property is widely considered to be a crucial one in fuzzy rule-based modeling, a more detailed formal investigation of what “interpretability” actually means is not available. So far, interpretability has most often been associated with rather heuristic assumptions about shape and mutual overlapping of fuzzy membership functions. In this paper, we attempt to approach this problem from a...

A Linguistic Fuzzy Approach to the Consensus Reaching in Multiple Criteria Group Decision-making Problems

Vojtěch Sukač, Jana Talašová, Jan Stoklasa (2016)

Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica

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The paper introduces a new method of reaching a consensus in multiple criteria group decision-making under fuzziness. This model is based on the general definition of the ‘soft’ consensus introduced by Kacprzyk and Fedrizzi in 1986. The fuzzy evaluations of alternatives express degrees of fulfillment of the given goals by the respective alternatives for each expert. The selection of the best alternative is based on the fuzzy consensus by experts. For this purpose a set of alternatives...