Name: Multiperson Decision Making Models Using Fuzzy Sets and Possibility Theory (en Inglés)
SKU: 58625762
Price: 3203.49 MXN
Availability: InStock
Author: Kacprzyk, J. ; Fedrizzi, Mario
ISBN: 9789401074483

portada Multiperson Decision Making Models Using Fuzzy Sets and Possibility Theory (en Inglés)

Multiperson Decision Making Models Using Fuzzy Sets and Possibility Theory (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Kacprzyk, J. ; Fedrizzi, Mario

Idioma

Inglés

N° páginas

346

Encuadernación

Tapa Blanda

Dimensiones

23.4x15.6x1.9 cm

Peso

0.50 kg.

ISBN13

9789401074483

Categorías

Política y gobierno
Investigación operativa
Jardinería

Multiperson Decision Making Models Using Fuzzy Sets and Possibility Theory (en Inglés)

Kacprzyk, J. ; Fedrizzi, Mario (Autor) · Springer · Tapa Blanda

Libro Nuevo Importado

Envío: 13 a 18 días háb.

$ 6,406.98$ 3,203.49

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan más de 100 unidades

$ 3,203.49

¡Envío Gratis! Llega entre el 29 Sep y el 07 Oct a CUAUHTÉMOC, Ciudad de México. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Multiperson Decision Making Models Using Fuzzy Sets and Possibility Theory (en Inglés)"

Decision making is certainly a very crucial component of many human activities. It is, therefore, not surprising that models of decisions play a very important role not only in decision theory but also in areas such as operations Research, Management science, social Psychology etc . . The basic model of a decision in classical normative decision theory has very little in common with real decision making: It portrays a decision as a clear-cut act of choice, performed by one individual decision maker and in which states of nature, possible actions, results and preferences are well and crisply defined. The only compo- nent in which uncertainty is permitted is the occurence of the different states of nature, for which probabilistic descriptions are allowed. These probabilities are generally assumed to be known numerically, i. e. as single probabili- ties or as probability distribution functions. Extensions of this basic model can primarily be conceived in three directions: 1. Rather than a single decision maker there are several decision makers involved. This has lead to the areas of game theory, team theory and group decision theory. 2. The preference or utility function is not single valued but rather vector valued. This extension is considered in multiattribute utility theory and in multicritieria analysis. 3.