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Clustering alternatives and learning preferences based on decision attitudes and weighted overlap dominance

Research output: Research - peer-reviewBook chapter

Standard

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. ed. / Vicenç Torra; Anders Dahlbom; Yasuo Narukawa. Springer, 2017. p. 337-347.

Research output: Research - peer-reviewBook chapter

Harvard

Franco de los Ríos, C, Hougaard, JL & Nielsen, K 2017, Clustering alternatives and learning preferences based on decision attitudes and weighted overlap dominance. in V Torra, A Dahlbom & Y Narukawa (eds), Fuzzy sets, rough sets, multisets and clustering. Springer, Studies in Computational Intelligence, vol. 671, pp. 337-347. DOI: 10.1007/978-3-319-47557-8_20

APA

Franco de los Ríos, C., Hougaard, J. L., & Nielsen, K. (2017). Clustering alternatives and learning preferences based on decision attitudes and weighted overlap dominance. In V. Torra, A. Dahlbom, & Y. Narukawa (Eds.), Fuzzy sets, rough sets, multisets and clustering (pp. 337-347). Springer. Studies in Computational Intelligence, Vol.. 671, DOI: 10.1007/978-3-319-47557-8_20

Vancouver

Franco de los Ríos C, Hougaard JL, Nielsen K. Clustering alternatives and learning preferences based on decision attitudes and weighted overlap dominance. In Torra V, Dahlbom A, Narukawa Y, editors, Fuzzy sets, rough sets, multisets and clustering. Springer. 2017. p. 337-347. (Studies in Computational Intelligence, Vol. 671). Available from, DOI: 10.1007/978-3-319-47557-8_20

Author

Franco de los Ríos, Camilo ; Hougaard, Jens Leth ; Nielsen, Kurt. / Clustering alternatives and learning preferences based on decision attitudes and weighted overlap dominance. Fuzzy sets, rough sets, multisets and clustering. editor / Vicenç Torra ; Anders Dahlbom ; Yasuo Narukawa. Springer, 2017. pp. 337-347 (Studies in Computational Intelligence, Vol. 671).

Bibtex

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title = "Clustering alternatives and learning preferences based on decision attitudes and weighted overlap dominance",
abstract = "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.",
author = "{Franco de los Ríos}, Camilo and Hougaard, {Jens Leth} and Kurt Nielsen",
year = "2017",
doi = "10.1007/978-3-319-47557-8_20",
isbn = "978-3-319-47556-1",
pages = "337--347",
editor = "Vicenç Torra and Dahlbom, {Anders } and Narukawa, {Yasuo }",
booktitle = "Fuzzy sets, rough sets, multisets and clustering",
publisher = "Springer",

}

RIS

TY - CHAP

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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

SP - 337

EP - 347

BT - Fuzzy sets, rough sets, multisets and clustering

PB - Springer

ER -

ID: 174208465