Integrating expert systems using fuzzy numbers

✍ Scribed by Michael J. Baldwin

• Publisher: Elsevier Science
• Year: 1988
• Tongue: English
• Weight: 55 KB
• Volume: 2
• Category: Article
• ISSN: 0888-613X
• DOI: 10.1016/0888-613x(88)90068-0

✦ Synopsis

In many complex decision situations the data available may not be sufficient to define a decision-making problem in an exact and objective form. The processing of such data involves approximating and subjectively assessing the information necessary to describe the decision situation. The ability to capture the vague nature of the information may be the key to solving an ill-defined problem.

This paper presents quantitative models that accommodate the imprecision resulting from the vagueness and the subjectivity in the assessment of decision situations. The tools of quantification used to represent this imprecision are fuzzy set theory and operations. A new interpretation of the decision-making process in a fuzzy environment is motivated. Guidelines by which the "best" decision alternative can be determined are presented.