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A Feasible Approximation to Optimum Decision Support System for Multidimensional Cases through a Modular Decomposition

Vrana, Ivan    (Czech University of Life Sciences   ); Aly, Shady    (Faculty of Engineering at Helwan, Helwan University  );
  • 초록

    The today's decision making tasks in globalized business and manufacturing become more complex, and ill-defined, and typically multiaspect or multi-discipline due to many influencing factors. The requirement of obtaining fast and reliable decision solutions further complicates the task. Intelligent decision support system (DSS) currently exhibit wide spread applications in business and manufacturing because of its ability to treat ill-structuredness and vagueness associated with complex decision making problems. For multi-dimensional decision problems, generally an optimum single DSS can be developed. However, with an increasing number of influencing dimensions, increasing number of their factors and relationships, complexity of such a system exponentially grows. As a result, software development and maintenance of an optimum DSS becomes cumbersome and is often practically unfeasible for real situations. This paper presents a technically feasible approximation of an optimum DSS through decreasing its complexity by a modular structure. It consists of multiple DSSs, each of which contains the homogenous knowledge's, decision making tools and possibly expertise's pertaining to a certain decision making dimension. Simple, efficient and practical integration mechanism is introduced for integrating the individual DSSs within the proposed overall DSS architecture.


  • 주제어

    Decision Support System (DSS) .   Group Decision-Making .   Multi-dimensional Decision making .   Decisions Aggregation.  

  • 참고문헌 (9)

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    4. A. Quintero, D. Konar$\acute{e}$ and S. Pierre, 'Prototyping an intelligent decision support system for improving urban infrastructures management', Euro. Journal of Oper. Res., Vol.162, No. 3, pp. 654?672, 2005 
    5. S. Aly & I. Vrana, 'Integrating Multiple Fuzzy Expert System under Restricting Requirements', Agriculture Economics, Vol. 52, No. 4, 2006 
    6. S. Aly & I. Vrana, 'An Intelligent Decision Support System for Environmental Impact Assessment of Industrial Projects', International Congress on Environmental Modeling and Software, Barcelona, 2008 
    7. F. Nasiri and G. Huang, 'A fuzzy decision aid model for environmental performance assessment in waste recycling', Environmental Modeling & Software, Vol. 23, No. 6, pp. 677-689, 2008 
    8. R.Yager, 'An ordered weighted averaging aggregation operators in multicriteria decision making', IEEE Trans on Sys., Man, and Cybernetics,Vol. 18 , pp. 183?190, 1988 
    9. X. Liu and K. W. Wirtz, 'Consensus oriented fuzzified decision support for oil spill contingency management', Journal of Hazardous Materials, Vol. 134, No. 1-3, pp. 27-35, 2006 

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