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Optimization Procedure of the Multi-parameter Assessment and Bidding of Decision-Making Variants in the Computerized Decision Support System

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Computational Collective Intelligence

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9330))

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Abstract

The aim of the paper is to present the architecture and to use the platform of data organisation based on information notations of the multi-criteria linear programming (MLP). It constitutes the foundation of the construction of the computerized decision support system (DSS 2.0 – by Budziński R., Becker J., 2008-2015). The system was developed for the needs of complex, multi-methodical decision-making analyses. The MLP method is considered in two aspects. The first one includes the development of the platform for the formulation of decision-making tasks in the form of standardized information structures (MLP model templates), where each one is a meta-description for the set of analysed objects. While the second aspect relates to the use of a multi-model (connected partial MLP models representing objects) and the optimization algorithm for searching the best solutions (efficient) with regard of the process of their internal adjustment.

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Correspondence to Jarosław Becker .

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Becker, J., Budziński, R. (2015). Optimization Procedure of the Multi-parameter Assessment and Bidding of Decision-Making Variants in the Computerized Decision Support System. In: Núñez, M., Nguyen, N., Camacho, D., Trawiński, B. (eds) Computational Collective Intelligence. Lecture Notes in Computer Science(), vol 9330. Springer, Cham. https://doi.org/10.1007/978-3-319-24306-1_18

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  • DOI: https://doi.org/10.1007/978-3-319-24306-1_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24305-4

  • Online ISBN: 978-3-319-24306-1

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