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                <identifier>ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:1:4549</identifier>
                <datestamp>2016-10-27T17:28:03Z</datestamp>
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                    <dim:field mdschema="dc" element="title" lang="en">Preference information modeling by empty interaction index based on monotone measure</dim:field>
                    <dim:field mdschema="dc" element="date" qualifier="issued">2015</dim:field>
                    <dim:field mdschema="dc" element="identifier" qualifier="uri">http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/1/4549</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="orcid::0000-0003-0719-4701" confidence="-1">E. Pap</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="id:15950" confidence="-1">J. Wu</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="id:15951" confidence="-1">A. Szakal</dim:field>
                    <dim:field mdschema="dc" element="description" qualifier="abstract">In this paper, we consider the monotone measure
identification issue from the perspective of the Shapley importance
and interaction index, and propose Shapely importance
and interaction index oriented monotone measure identification
methods. We investigate some properties of the probabilistic
interaction indices of the empty set, analyze the meaning of
the Shapely interaction index of the empty set in the context of
multicriteria decision analysis, and propose the maximum and
minimum empty set interaction principles based monotone easure
identification methods.</dim:field>
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                    <dim:field mdschema="dc" element="citation" qualifier="spage">54</dim:field>
                    <dim:field mdschema="dc" element="citation" qualifier="epage">59</dim:field>
                    <dim:field mdschema="dc" element="source">16th International Symposium on Computational Intelligence and Informatics CINTI 2015</dim:field>
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