Decision-making : processes, behavioral influences and role in business management / Rebecca Hudson, editor.

Includes bibliographical references and index.

Description based on print version record and CIP data provided by publisher.

DECISION-MAKING PROCESSES, BEHAVIORAL INFLUENCES AND ROLE IN BUSINESS MANAGEMENT; DECISION-MAKINGPROCESSES, BEHAVIORALINFLUENCES AND ROLE INBUSINESS MANAGEMENT; Library of Congress Cataloging-in-Publication Data; CONTENTS; PREFACE; Chapter 1: COMBINATION OF THE GROUP AND MULTI-CRITERIA DECISION-MAKING METHODS IN BUSINESS MANAGEMENT; ABSTRACT; 1. INTRODUCTION; 2. DECISION MAKING; 3. THE PROBLEM STATEMENT; 4. THE PROPOSED APPROACH; CONCLUSION; REFERENCES; Chapter 2: A HIERARCHICAL MODEL OF SME INTERNATIONALIZATION: EVIDENCE FROM SPAIN; ABSTRACT; 1. INTRODUCTION

2. THEORETICAL FRAMEWORK: THE HIERARCHICAL MODEL3. HYPOTHESES; 4. METHODS; 5. RESULTS AND ROBUSTNESS CHECKS; DISCUSSION AND CONCLUSION; REFERENCES; Chapter 3: SOFT COMPUTING ANALYTIC MODELS FOR INCREASING THE EFFICIENCY OF FUZZY INFORMATION PROCESSING IN DECISION SUPPORT SYSTEMS; ABSTRACT; 1 INTRODUCTION; 2 INVERSE AND DIRECT MODELS OF THE RESULTING MFS FOR ARITHMETIC OPERATIONS WITH TRFNS; 3. ANALYSIS OF VARIOUS SHAPES FOR TRIANGULAR FUZZY NUMBERS REPRESENTATIONS; 4. SYNTHESIS OF INVERSE AND DIRECT ANALYTIC MODELS FOR ADDITION OF TRFNS WITH VARIOUS MF'S SHAPES

5. UNIVERSAL ALGORITHM FOR THE REALIZATION OF ARITHMETIC OPERATIONS BASED ON THE LIBRARY MM1- MM16 OF ANALYTIC MODELS FOR DIFFERENT SHAPES OF TRFNS6. APPLIED ASPECTS OF UNIVERSAL ANALYTIC MODELS IMPLEMENTATION IN DECISION SUPPORT PROCESSES; CONCLUSION; REFERENCES; INDEX

This book examines various decision-making processes, influences and its role in business management. The chapters describe the original decision-making approach based on joint use of the multi-criteria method and the method of group preferences in business management; a discussion on the internationalization decision-making process of small-medium enterprises (SMEs); and an examination on the efficiency of computer decision support systems by developing a set of universal analytic models for increasing the efficiency of fuzzy input information processing.

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