PPT-Intelligent Decision Support Systems (IDSS)

CSE 335435 H é ctor Mu ñ ozAvila You Have Seen this Before A consumers Customer Service Experience Have you called a customer service support line lately It goes something like this automatic machine. H. Munoz-Avila. Case-Based Reasoning. Example: Slide Creation. Repository of Presentations:. 5/9/00: ONR review. 8/20/00: EWCBR talk. 4/25/01: DARPA review. Specification. Revised. talk . 3. . Revise. ECODISTR-ICT H2020 (FP7)Project. Esra Bektas and Bart Luiten (TNO). Structure. Section 1: . Background –the necessity for the IDSS and use of KPIs. Section 2: . Modelling the Decision Process that the IDSS supports . CHAPTER 13. Hossein BIDGOLI. MIS. . Att. and future. Chapter 13 Intelligent Information Systems. LO1. . Define artificial intelligence and explain how these technologies support decision making.. by Hefley and Murray. IUI: A 1993 Perspective. Intelligent User Interfaces brings together work in separate research communities. Artificial intelligence. Human-computer interaction. Research often included. 15-. 1. Chapter 15. Integration, Impacts, and the Future of Management-Support Systems. Turban, Aronson, and Liang Decision Support Systems and Intelligent Systems, Seventh Edition. Introduction. Information, Decisions, and Management. Decision Support Technologies. OLAP and DSS. DSS Applications in Corporate Functional Management. Practitioners of Management Science. Achieving Success with Analytics. 9-. 1. Chapter 9. Knowledge Management. Turban, Aronson, and Liang Decision Support Systems and Intelligent Systems, Seventh Edition. © 2005 Prentice Hall, Decision Support Systems and Intelligent Systems, 7th Edition, Turban, Aronson, and Liang. CHAPTER 13. Hossein BIDGOLI. MIS. . Att. and future. Chapter 13 Intelligent Information Systems. LO1. . Define artificial intelligence and explain how these technologies support decision making.. by Hefley and Murray. IUI: A 1993 Perspective. Intelligent User Interfaces brings together work in separate research communities. Artificial intelligence. Human-computer interaction. Research often included. Recap previous lesson. Define a decision support system. List the three classifications of a decision support system and give an example of each. Structured situation. Semi-structured situation. Unstructured situation. Intelligent techniques for enhancing decision making. Many based on a. rtificial intelligence (AI). C. omputer-based systems (hardware and software) that attempt to emulate human behavior and thought patterns. 14-. 1. Chapter 14. Electronic Commerce. Turban, Aronson, and Liang Decision Support Systems and Intelligent Systems, Seventh Edition. © 2005 Prentice Hall, Decision Support Systems and Intelligent Systems, 7th Edition, Turban, Aronson, and Liang. 1. Decision Making. Information is used to make decisions. Decision making is not a single activity that takes place all at one. . The process consists of several different activities that take place at different times. . Chapter 1 Decision Support and Business Intelligence. Organization works in a dynamic environment. . . change continuously & rapidly. more & more complex.