Decision Theory With Imperfect Information

by Rafik Aziz Aliev, Oleg H Huseynov

Overview

Every day decision making in complex human-centric systems are characterized by imperfect decision-relevant information. The principal problems with the existing decision theories are that they do not have capability to deal with situations in which probabilities and events are imprecise. In this book, we describe a new theory of decision making with imperfect information. The aim is to shift the foundation of decision analysis and economic behavior from the realm bivalent logic to the realm fuzzy logic and Z-restriction, from external modeling of behavioral decisions to the framework of combined states.This book will be helpful for professionals, academics, managers and graduate students in fuzzy logic, decision sciences, artificial intelligence, mathematical economics, and computational economics.

Product Details

ISBN-13:	9789814611039
Publisher:	World Scientific Publishing Company, Incorporated
Publication date:	10/13/2014
Pages:	468
Product dimensions:	5.90(w) x 9.10(h) x 1.20(d)

Table of Contents

Theories of Decision Making under Uncertainty; Fuzzy Logic and Approximate Reasoning; Preferences Framework; Imperfect Decision-Relevant Information; Uncertainty Measures in Decision Making; Fuzzy Logic-Based Decision Theory with Imperfect Information; Hierarchical Models for Decision Making with Imperfect Information; Decision Making Model without Utility; Combined States concept and Behavioral Decision Making; Decision Making under Unprecisiated Imperfect Information; The General Theory of Decisions; Simulations and Applications in Business, Economics, Production and Medicine