Premium
Applications and Implementation DATA‐BASE MANAGEMENT SYSTEM EVALUATION AND SELECTION DECISIONS *
Author(s) -
Zahedi Fatemeh
Publication year - 1985
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.1540-5915.1985.tb01477.x
Subject(s) - computer science , analytic hierarchy process , schema (genetic algorithms) , selection (genetic algorithm) , data mining , database , base (topology) , software , microcomputer , hierarchy , operations research , information retrieval , artificial intelligence , programming language , mathematical analysis , telecommunications , chip , mathematics , economics , engineering , market economy
The rapid increase in the use of data‐base management systems (DBMSs) has created a need for structured methods of evaluation and selection. This paper offers one such method. It develops a decision schema for data‐base software selection that is data‐model independent and contains structural associations. A decision analysis method, the analytic hierarchy process (AHP), is used to quantify the evaluation. The method developed in this paper is applied to the evaluation of two microcomputer DBMS products: dBASE II® and Condor 3®.