Clustering alternatives and learning preferences based on decision attitudes and weighted overlap dominance
Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
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Clustering alternatives and learning preferences based on decision attitudes and weighted overlap dominance. / Franco de los Ríos, Camilo; Hougaard, Jens Leth; Nielsen, Kurt.
Fuzzy sets, rough sets, multisets and clustering. red. / Vicenç Torra; Anders Dahlbom; Yasuo Narukawa. Springer, 2017. s. 337-347 (Studies in Computational Intelligence, Bind 671).Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
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TY - CHAP
T1 - Clustering alternatives and learning preferences based on decision attitudes and weighted overlap dominance
AU - Franco de los Ríos, Camilo
AU - Hougaard, Jens Leth
AU - Nielsen, Kurt
PY - 2017
Y1 - 2017
N2 - An initial assessment on a given set of alternatives is necessary for understanding complex decision problems and their possible solutions. Attitudes and preferences articulate and come together under a decision process that should be explicitly modeled for understanding and solving the inherent conflict of decision making. This paper revises multi-criteria modeling of imprecise data, inferring outranking and indifference binary relations and classifying alternatives according to their similarity or dependency. After the initial assessment on the set of alternatives, preference orders are built according to the attitudes of decision makers, aiding the decision process by identifying solutions with minimal dissention.
AB - An initial assessment on a given set of alternatives is necessary for understanding complex decision problems and their possible solutions. Attitudes and preferences articulate and come together under a decision process that should be explicitly modeled for understanding and solving the inherent conflict of decision making. This paper revises multi-criteria modeling of imprecise data, inferring outranking and indifference binary relations and classifying alternatives according to their similarity or dependency. After the initial assessment on the set of alternatives, preference orders are built according to the attitudes of decision makers, aiding the decision process by identifying solutions with minimal dissention.
U2 - 10.1007/978-3-319-47557-8_20
DO - 10.1007/978-3-319-47557-8_20
M3 - Book chapter
SN - 978-3-319-47556-1
T3 - Studies in Computational Intelligence
SP - 337
EP - 347
BT - Fuzzy sets, rough sets, multisets and clustering
A2 - Torra, Vicenç
A2 - Dahlbom, Anders
A2 - Narukawa, Yasuo
PB - Springer
ER -
ID: 174208465