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Demonstrative Implications of a New Logical Aggregation Paradigm on a Classical Fuzzy Evaluation Model of «Green» Buildings

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Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2014)

Abstract

This paper demonstrates the application possibilities of the generalised model for Logical Aggregation (LA) in performance and quality evaluation of Green buildings through establishing a linear order of them by a (scalar) general aggregated quality parameter and sorting them into categories. An existing classical fuzzy model is experimentally modified in order to demonstrate the advanced capabilities of adequate articulation of the partial demands for quality via the new generalised model for logical aggregation.

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© 2014 Springer International Publishing Switzerland

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Mrkalj, M. (2014). Demonstrative Implications of a New Logical Aggregation Paradigm on a Classical Fuzzy Evaluation Model of «Green» Buildings. In: Laurent, A., Strauss, O., Bouchon-Meunier, B., Yager, R.R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2014. Communications in Computer and Information Science, vol 443. Springer, Cham. https://doi.org/10.1007/978-3-319-08855-6_3

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  • DOI: https://doi.org/10.1007/978-3-319-08855-6_3

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08854-9

  • Online ISBN: 978-3-319-08855-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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