Soft Computing and its Applications in Business and Economics

Soft Computing and its Applications in Business and Economics by Rafik Aziz Aliev, Bijan Fazlollahi, Rashad Rafik Aliev.

This monograph provides a self-contained exposition of the foundations of soft computing, and presents a vast compendium of its applications to business, finance, decision analysis and economics. It is the first book on applications of soft computing - based hybrid methods combining fuzzy logic, neu...

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Bibliographic Details
Main Authors: Aliev, Rafik Aziz (Author), Fazlollahi, Bijan (Author), Aliev, Rashad Rafik (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2004.
Edition:1st ed. 2004.
Series:Studies in Fuzziness and Soft Computing, 157
Springer eBook Collection.
Subjects:
Computers.
Applied mathematics.
Engineering mathematics.
Operations research.
Decision making.
Artificial intelligence.
Information technology.
Business—Data processing.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 1 Introduction to Soft Computing
  • 1.1 Basic Concepts of Soft Computing
  • 2.2 Combination of Constituents of Soft Computing
  • References
  • 2. Constituent Methodologies of Soft Computing
  • 2.1 Elements of Fuzzy Sets Theory
  • 2.2 Foundations of Neurocomputing
  • 2.3 Probabilistic Computing
  • 2.4 Evolutionary Computing
  • 2.5 Chaotic Computing
  • References
  • 3. Emerging Combined Soft Computing Technologies
  • 3.1 Neuro-Fuzzy Technology
  • 3.2 Neuro-Genetic Approach
  • 3.3 Fuzzy Genetic Paradigm
  • 3.4 Genetic Algorithms with Fuzzy Logic
  • 3.5 Neuro-Fuzzy-Genetic Paradigm
  • 3.6 Multi-Agent Distributed Intelligent Systems Paradigm
  • 3.7 Computing with Words Technology
  • References
  • 4. Soft Computing Technologies in Business and Economic Forecasting
  • 4.1 Neuro-Computing and Forecasting
  • 4.2 Fuzzy Time Series Based Forecasting
  • 4.3 Fuzzy Delphi Method
  • 4.4 Soft Computing Based Forecasting Complex Time Series
  • 4.5 Soft Computing Based Prediction Ensemble for Forecasting in Chaotic Time Series
  • References
  • 5 Soft Computing Based Decision Making and DSS
  • 5.1 Fuzzy Linear Programming
  • 5.2 Evolutionary Algorithm Based Fuzzy Linear Programming
  • 5.3 Fuzzy Chaos Approach to Fuzzy Linear Programming Problem
  • 5.4 Fuzzy-Probabilistic Scheduling for Oil Refinery
  • 5.5 Fuzzy Decision Making
  • 5.6 Multi-Agent Distributed Intelligent System Based on Fuzzy Decision Making
  • 5.7 Soft Computing and Data Mining
  • 5.8 Soft Computing Based Multi-Agent Marketing DSS
  • 5.9 Hybrid DSS Based on Simulation and Genetic Algorithms
  • 5.10 Soft Computing Based Alternatives Generations by Decision Support Systems
  • References
  • 6 Soft Computing in Marketing
  • 6.1 Marketing Analysis of a Customer’s Purchasing Behavior
  • 6.2 Customer Credit Evaluation
  • 6.3 Soft Computing Based Fraud Detection
  • 6.4 Fuzzy Evaluation of Service Quality
  • 6.5 Application of Fuzzy Programming to Hospital’s Service Performance Evaluating
  • References
  • 7 Soft Computing Applications in Operations Management
  • 7.1 Application of Fuzzy Logic in Transportation Logistics
  • 7.2 Scheduling Fuzzy Expert Systems with Probabilistic Reasoning for Oil Refineries
  • 7.3 Detection and Withdrawal of Defect Parts in the Computer Aided Manufacturing of Evaporators
  • 7.4 Genetic Algorithms Based Fuzzy Regression Analysis and Its Applications for Quality Evaluation
  • 7.5 An Intelligent System for Diagnosis of the Oil-Refinery Plant
  • 7.6 Neuro-Fuzzy Pattern Recognition in Manufacturing
  • 7.7 Soft Computing Based Inventory Control
  • 7.8 Fuzzy Project Scheduling
  • 7.9 CW Based Decision Analysis on Risk Assessment of an Engineering Project
  • References
  • 8 Soft Computing in Finance
  • 8.1 Soft Computing Based Stock Market Predicting System
  • 8.2 Fuzzy Nonlinear Programming Approach to Portfolio Selection
  • 8.3 Neuro-Fuzzy Approach to Modeling of Credit Risk in Trading Portfolios
  • 8.4 A Fuzzy Approach to the Credit Portfolio Constructing
  • 8.5 Soft Computing Based TDSS Multi-Agent Systems in Finance
  • 8.6 Neural Nonlinear Modeling for Risk Management in Banking
  • 8.7 Neuro-Fuzzy Loan Assessment System
  • References
  • 9 Soft Computing in Electronic Business
  • 9.1 A Multi-Agent System for E-Commerce Decisions
  • 9.2 Soft Computing and Personalization of Electronic Commerce
  • 9.3 Risk Analysis in Electronic Commerce Using Fuzzy Weighted Average
  • References.

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