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An interactive procedure for learning about preferences: Case study of a portfolio manager
Author(s) -
Jog Vijay,
Michalowski Wojtek
Publication year - 1994
Publication title -
journal of multi‐criteria decision analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.462
H-Index - 47
eISSN - 1099-1360
pISSN - 1057-9214
DOI - 10.1002/mcda.4020030105
Subject(s) - portfolio , decision maker , consistency (knowledge bases) , selection (genetic algorithm) , computer science , set (abstract data type) , process (computing) , project portfolio management , operations research , artificial intelligence , economics , engineering , project management , management , finance , programming language , operating system
This paper presents a new interactive procedure for learning and interpreting the choices available to a decision maker confronted with a discrete decision problem. The procedure guides a decision maker through the evaluation process, has an ability ‘to learn’ from previous choices and generates a set of rules that describe a decision maker's posterior preferences. The validity of the procedure was tested by creating an investment portfolio. The emphasis of the application is on assisting the portfolio manager to determine the decision consistency of a given portfolio selection process.