Title: Decision support system for innovation with a special emphasis on pollution

Authors: Arturas Kaklauskas, Edmundas Kazimieras Zavadskas

Addresses: Department of Construction Economics and Property Management, Vilnius Gediminas Technical University, Sauletekio al. 11, LT 10223 Vilnius, Lithuania. ' Department of Construction Technology and Management, Vilnius Gediminas Technical University, Sauletekio al. 11, LT 10223 Vilnius, Lithuania

Abstract: Research and practical literature that is relevant to the area of the application of software and intelligent automation applications on pollution minimisation and mitigation processes is analysed in this paper. Especially highlighted and studied are calculators, software, expert and decision support systems, fuzzy logic, and neural networks, which emerge as the most regularly used automation approaches for pollution analysis. The results of this paper|s study provide a useful insight into creating one|s own Decision Support System for Innovation (DSSI). DSSI differs from other systems in the use of new multiple criteria analysis methods that were developed by the authors. Different criteria characterising various kinds of pollutions are included in databases of the DSSI.

Keywords: intelligent systems; multiple criteria analysis; decision support systems; DSS; innovation; pollution mitigation; pollution minimisation; fuzzy logic; neural networks; expert systems; environmental pollution.

DOI: 10.1504/IJEP.2007.014826

International Journal of Environment and Pollution, 2007 Vol.30 No.3/4, pp.518 - 528

Available online: 10 Aug 2007 *

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