BOOK-CHAPTER

Mastering Intelligent Decision Support Systems in Enterprise Information Management

Kijpokin Kasemsap

Year: 2016 Advances in data mining and database management book series Pages: 35-56   Publisher: IGI Global

Abstract

This chapter explains the overview of Intelligent Decision Support Systems (IDSSs); the overview of Enterprise Information Management (EIM); the IDSS techniques for EIM in terms of Expert System (ES), Multi-Agent System (MAS), Fuzzy Logic (FL), Artificial Neural Network (ANN), Evolutionary Computation (EC), and Hybrid System (HS); and the multifaceted applications of IDSSs in EIM. IDSS techniques are rapidly emerging as the modern tools in information management systems and include various techniques, such as ES, MAS, FL, ANN, EC, and HS. IDSS techniques can increase the sensitiveness, flexibility, and accuracy of information management systems. IDSS techniques should be implemented in modern enterprise in order to gain the benefits of using the decision-making process concerning EIM. The chapter argues that utilizing IDSS techniques for EIM has the potential to increase organizational performance and reach strategic goals in global operations.

Keywords:
Flexibility (engineering) Intelligent decision support system Computer science Decision support system Artificial neural network Fuzzy logic Knowledge management Information system Expert system Artificial intelligence Process (computing) Systems engineering Management science Process management Engineering Mathematics

Metrics

6
Cited By
6.18
FWCI (Field Weighted Citation Impact)
120
Refs
0.97
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Collaboration in agile enterprises
Social Sciences →  Business, Management and Accounting →  Management of Technology and Innovation
Fuzzy Logic and Control Systems
Physical Sciences →  Computer Science →  Artificial Intelligence

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