An architecture for active DSS
Proceedings of the Twenty-First Annual Hawaii International Conference on Decision Support and Knowledge Based Systems Track
An active modeling system for econometric analysis
Decision Support Systems
JANUS: A paradigm for active decision support
Decision Support Systems
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Fuzzy uncertainty in imperfect competition
Information Sciences—Intelligent Systems: An International Journal
An active intelligent decision support system—architecture and simulation
Decision Support Systems
Triangulation in decision support systems: algorithms for product design
Decision Support Systems
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms for product design
Management Science
Fuzzy set theory: foundations and applications
Fuzzy set theory: foundations and applications
The development of an adaptive decision support system
Decision Support Systems
Incorporating critique and argumentation in DSS
Decision Support Systems
Fuzzy logic to improve the robustnesss of Decision Support Systems under uncertainty
Computers and Industrial Engineering
The development of a hybrid intelligent system for developing marketing strategy
Decision Support Systems
Interactive multiple objective programming using Tchebycheff programs and artificial neural networks
Computers and Operations Research - Special issue on artificial intelligence and decision support with multiple criteria
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
The New Science of Management Decision
The New Science of Management Decision
A Multi-objective Approach to Constrained Optimisation of Gas Supply Networks: the COMOGA Method
Selected Papers from AISB Workshop on Evolutionary Computing
Enhancing user understanding in a decision support system: a theoretical basis and framework
Journal of Management Information Systems
The design and validation of a hybrid information system for the auditor's going concern decision
Journal of Management Information Systems - Special section: Managing virtual workplaces and teleworking with information technology
A machine-learning approach to automated negotiation and prospects for electronic commerce
Journal of Management Information Systems - Special issue: Information technology and its organizational impact
Journal of Management Information Systems - Special section: Information technology and its organizational impact
Pluralistic multi-agent decision support system: a framework and an empirical test
Information and Management
Decision support system induced guidance for model formulation and solution
Decision Support Systems
Understanding Determinants of Online Consumer Satisfaction: A Decision Process Perspective
Journal of Management Information Systems
Situated DSS for personal finance management: Design and evaluation
Information and Management
A diversity-based method for infrequent purchase decision support in e-commerce
Electronic Commerce Research and Applications
A new approach for discovering fuzzy quantitative sequential patterns in sequence databases
Fuzzy Sets and Systems
Situated DSS for personal finance management: Design and evaluation
Information and Management
The importance of individual characteristics on consideration sets for online auction buyers
Journal of Theoretical and Applied Electronic Commerce Research
Hi-index | 0.00 |
An essential feature of active Decision Support Systems (DSS) is the ability to take the initiative in performing decision-related tasks. One possibility for providing active high cognitive level decision support is through facilitating alternative generation in DSS. The method proposed in this work enables the generation of several diverse alternatives in a single run. The method relies on the principles of effective problem-solving/decision-making and facilitates divergent processes, the separation of alternative generation from evaluation, as well as the diminishing of human cognitive biases. A hybrid DSS based on genetic algorithms (GA) and fuzzy sets is used to operationalize the approach. The paper outlines the design requirements for alternative generation in DSS and discusses the inadequacies of the what-if simulation and traditional optimization methods in light of these requirements. The paper further elaborates on the appropriateness of GA as a tool for alternative generation in DSS for solving complex ill-structured problems. The method is illustrated using marketing mix problem in a simulated business environment. The results suggest that the GA-based alternative generation leads to promising diverse alternatives. An active DSS incorporating the proposed method reduces the time-consuming manual search for promising alternatives and provides a higher degree of man-machine collaboration.