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Multicriteria classification

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  • Multicriteria classification — In multiple criteria decision aiding (MCDA), multicriteria classification (or sorting) involves problems where a finite set of alternative actions should be assigned into a predefined set of preferentially ordered categories (classes).[1] For… …   Wikipedia

  • Dominance-based Rough Set Approach — (DRSA) is an extension of rough set theory for Multi Criteria Decision Analysis (MCDA), introduced by Greco, Matarazzo and Słowiński Greco, S., Matarazzo, B., Słowiński, R.: Rough sets theory for multicriteria decision analysis. European Journal… …   Wikipedia

  • Dominance-based rough set approach — (DRSA) is an extension of rough set theory for multi criteria decision analysis (MCDA), introduced by Greco, Matarazzo and Słowiński. [1][2][3] The main change comparing to the classical rough sets is the substitution of the indiscernibility… …   Wikipedia

  • Multi-criteria decision analysis — Multiple criteria decision making or multiple criteria decision analysis is a sub discipline of operations research that explicitly considers multiple criteria in decision making environments. Whether in our daily lives or in professional… …   Wikipedia

  • David Nutt — This article is about the neuropsychopharmacologist. For the publisher, see David Nutt (publisher). David John Nutt (born 16 April 1951) is a British psychiatrist and neuropsychopharmacologist specialising in the research of drugs that affect the …   Wikipedia

  • Rough set — A rough set originated by prof. Zdzisław I. Pawlak is a formal approximation of a crisp set (i.e., conventional set ) in terms of a pair of sets which give the lower and the upper approximation of the original set. The lower and upper… …   Wikipedia

  • Landscape ecology — is the science and art of studying and improving the relationship between spatial pattern and ecological processes on a multitude of scales and organizational levels (Wu 2006, 2008; Wu and Hobbs 2007). In a broad sense, landscape ecology… …   Wikipedia

  • Aggregated Indices Randomization Method — (AIRM) is a modification of well known aggregated indices method being aimed at complex objects multi criteria estimation under uncertainty. The main advantage of AIRM over other variants of aggregated indices methods is its ability to use non… …   Wikipedia