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The Design of a Knowledge‐Based Decision Support System to Support the Information Analyst in Determining Requirements
Author(s) -
Dalal Nikunj P.,
Yadav Surya B.
Publication year - 1992
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.1540-5915.1992.tb00454.x
Subject(s) - computer science , decision support system , intelligent decision support system , knowledge base , requirements analysis , knowledge management , information system , task (project management) , context (archaeology) , process (computing) , expert system , process management , executive information system , component (thermodynamics) , management information systems , systems engineering , artificial intelligence , engineering , paleontology , physics , thermodynamics , software , electrical engineering , biology , programming language , operating system
Decision support system (DSS) researchers and designers continue to look for unstructured organizational tasks where there is a critical need for intelligent computer‐based support. One such decision task is information requirements determination. Requirements determination is recognized as the most crucial phase of the systems development life cycle. Unfortunately, most methodologies and CASE tools focus only on how to specify the requirements once they are determined. There is very little computer support for the process of determining requirements. This paper discusses the conceptual design and development of a knowledge‐based DSS to support information analysts in the critical decision task of determining requirements for the design of effective information systems. The expert modeling support system has the expertise to assist the analyst in studying the organization as a whole and in modeling the system under study in the context of the overall organization's goals and needs. The focus of the paper is on the problems associated with building the knowledge base component of the intelligent decision support system. A prototype implementation of the system is described.