The measurement of end-user computing satisfaction
MIS Quarterly
Interactive multiple objective optimization: survey l—continuous case
Computers and Operations Research
Management Science
DSS research and practice in perspective
Proceedings of the conference on First specialized conference on decision support systems
The measurement of user information satisfaction
Communications of the ACM
Decision Support Systems and Intelligent Systems
Decision Support Systems and Intelligent Systems
A fuzzy-based military officer performance appraisal system
Applied Soft Computing
Development and implementation on a fuzzy multiple objective decision support system
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
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Many business decisions can be modeled as multiobjective linear programming (MOLP) problems. MOLP algorithms seek solutions to these problems by interacting with decision makers to arrive at an acceptable solution. However, due in part to the increasing complexity of these algorithms, and in part to the failure of developers to use graphical user interfaces, testing and comparison of competing algorithms has been minimal. We present herein results of research designed to address this circumstance. Using widely available microcomputer tools, we designed and built a Decision Support System (DSS) capable of running MOLP algorithms, and conducted a field test which asked 98 decision makers to solve a business case using the system. Two algorithms were programmed into the DSS, one a new and more mathematically complex algorithm, and one a previously used benchmark. Results demonstrate that the more complex algorithm was preferred as a decision-making aid over the benchmark. Additionally, results show that users found the DSS equally easy to work with for both algorithms, suggesting that the graphical user interface sufficiently masked the complexity of the new algorithm. This result is encouraging for the possibility of the implementation and testing of increasingly sophisticated MOLP algorithms.