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Una introducción a la W-calculabilidad: Operaciones básicas.

Buenaventura Clares Rodríguez (1983)

Stochastica

Our purpose is to introduce the W-composition, W-minimalization and W-primitive recursion operations as operations between W-valued functions, where W denotes the ordered semiring ([0,1],+,≤). We prove that: 1) the set of W-calculable functions is closed under the W-composition and W-primitice recursion operations, and 2) the set of the partially W-calculable functions is closed under the W-minimalization operation.

Una nueva definición de aplicación difusa.

Miguel Delgado Calvo-Flores (1980)

Stochastica

If X, Y are universes of discourse, a fuzzy mapping f: X --> Y is defined as a classical mapping f: X x [0,1] --> P(Y). Their basic properties are studied as well as their relations with the classical model of fuzzy mapping.

Una visión unificada de los operadores en la teoría de la evidencia.

Luis Miguel de Campos Ibáñez, María Teresa Lamata Jiménez, Serafín Moral Callejón (1988)

Stochastica

The aim of this paper is to review the different operators defined in the Theory of Evidence. All of them are presented from the same point of view. Special attention is given to the logical operators: conjunction (Dempster's Rule), disjunction and negation (defined by Dubois and Prade), and the operators changing the level of granularity on the set of possible states (partitions, fuzzy partitions, etc.).

Upper and lower set formulas: restriction and modification of the Dempster-Pawlak formalism

Ismail Türkşen (2002)

International Journal of Applied Mathematics and Computer Science

A modification of Dempster's and Pawlak's constructs forms a new foundation for the identification of upper and lower sets formulas. Also, in this modified Dempster-Pawlak construct we require that subsets of the power set be restricted to the well-known information granules of the power set. An aggregation of upper information granules amongst each other and lower information granules amongst each other determine upper and lower set formulas for both crisp and fuzzy sets. The results are equivalent...

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