Premium
Choosing the Right Expert System Building Approach
Author(s) -
Nelson Carl W.,
Balachandra R.
Publication year - 1991
Publication title -
decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.238
H-Index - 108
eISSN - 1540-5915
pISSN - 0011-7315
DOI - 10.1111/j.1540-5915.1991.tb00351.x
Subject(s) - expert system , computer science , subject matter expert , analytic hierarchy process , legal expert system , hierarchy , domain (mathematical analysis) , construct (python library) , process (computing) , software engineering , artificial intelligence , knowledge management , operations research , programming language , mathematics , mathematical analysis , economics , market economy
The analytical hierarchy process (AHP) is used to systematically examine the relative appropriateness of contending expert system building approaches—algorithmic programming languages, symbolic programming languages, expert system shells, and knowledge engineering environments based upon characteristics of application domains and development environments. Two expert system projects, Back Expert, and R&D Expert, illustrate the value of this methodology. Domain and development environment characteristics identified in the AHP approach are then used to construct rule‐based and Lotus 1‐2‐3 expert systems for selecting the right expert system building approach.