Handling risk attitudes for preference learning and intelligent decision support

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

Standard

Handling risk attitudes for preference learning and intelligent decision support. / Franco de los Ríos, Camilo; Hougaard, Jens Leth; Nielsen, Kurt.

Modeling Decisions for Artificial Intelligence: 12th International Conference, MDAI 2015, Skövde, Sweden, September 21-23, 2015, Proceedings. red. / Vicenc Torra; Torra Narukawa. Springer Publishing Company, 2015. s. 78-89 (Lecture notes in computer science, Bind 9321).

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

Harvard

Franco de los Ríos, C, Hougaard, JL & Nielsen, K 2015, Handling risk attitudes for preference learning and intelligent decision support. i V Torra & T Narukawa (red), Modeling Decisions for Artificial Intelligence: 12th International Conference, MDAI 2015, Skövde, Sweden, September 21-23, 2015, Proceedings. Springer Publishing Company, Lecture notes in computer science, bind 9321, s. 78-89. https://doi.org/10.1007/978-3-319-23240-9_7

APA

Franco de los Ríos, C., Hougaard, J. L., & Nielsen, K. (2015). Handling risk attitudes for preference learning and intelligent decision support. I V. Torra, & T. Narukawa (red.), Modeling Decisions for Artificial Intelligence: 12th International Conference, MDAI 2015, Skövde, Sweden, September 21-23, 2015, Proceedings (s. 78-89). Springer Publishing Company. Lecture notes in computer science Bind 9321 https://doi.org/10.1007/978-3-319-23240-9_7

Vancouver

Franco de los Ríos C, Hougaard JL, Nielsen K. Handling risk attitudes for preference learning and intelligent decision support. I Torra V, Narukawa T, red., Modeling Decisions for Artificial Intelligence: 12th International Conference, MDAI 2015, Skövde, Sweden, September 21-23, 2015, Proceedings. Springer Publishing Company. 2015. s. 78-89. (Lecture notes in computer science, Bind 9321). https://doi.org/10.1007/978-3-319-23240-9_7

Author

Franco de los Ríos, Camilo ; Hougaard, Jens Leth ; Nielsen, Kurt. / Handling risk attitudes for preference learning and intelligent decision support. Modeling Decisions for Artificial Intelligence: 12th International Conference, MDAI 2015, Skövde, Sweden, September 21-23, 2015, Proceedings. red. / Vicenc Torra ; Torra Narukawa. Springer Publishing Company, 2015. s. 78-89 (Lecture notes in computer science, Bind 9321).

Bibtex

@inproceedings{562b63a601694bfd9333a64f3680ccfe,
title = "Handling risk attitudes for preference learning and intelligent decision support",
abstract = "Intelligent decision support should allow integrating human knowledge with efficient algorithms for making interpretable and useful recommendations on real world decision problems. 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. Here, risk attitudes are represented by means of fuzzy-linguistic structures, and an interactive methodology is proposed for learning preferences from a group of decision makers (DMs). The methodology is built on a multi-criteria framework allowing imprecise observations/measurements, where DMs reveal their attitudes in linguistic form and receive from the system their associated type, characterized by a preference order of the alternatives, together with the amount of consensus and dissention existing among the group. Following on the system's feedback, DMs can negotiate on a common attitude while searching for a satisfactory decision. ",
author = "{Franco de los R{\'i}os}, Camilo and Hougaard, {Jens Leth} and Kurt Nielsen",
year = "2015",
doi = "10.1007/978-3-319-23240-9_7",
language = "English",
isbn = "978-3-319-23239-3",
series = "Lecture notes in computer science",
publisher = "Springer Publishing Company",
pages = "78--89",
editor = "Torra, {Vicenc } and Narukawa, {Torra }",
booktitle = "Modeling Decisions for Artificial Intelligence",

}

RIS

TY - GEN

T1 - Handling risk attitudes for preference learning and intelligent decision support

AU - Franco de los Ríos, Camilo

AU - Hougaard, Jens Leth

AU - Nielsen, Kurt

PY - 2015

Y1 - 2015

N2 - Intelligent decision support should allow integrating human knowledge with efficient algorithms for making interpretable and useful recommendations on real world decision problems. 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. Here, risk attitudes are represented by means of fuzzy-linguistic structures, and an interactive methodology is proposed for learning preferences from a group of decision makers (DMs). The methodology is built on a multi-criteria framework allowing imprecise observations/measurements, where DMs reveal their attitudes in linguistic form and receive from the system their associated type, characterized by a preference order of the alternatives, together with the amount of consensus and dissention existing among the group. Following on the system's feedback, DMs can negotiate on a common attitude while searching for a satisfactory decision.

AB - Intelligent decision support should allow integrating human knowledge with efficient algorithms for making interpretable and useful recommendations on real world decision problems. 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. Here, risk attitudes are represented by means of fuzzy-linguistic structures, and an interactive methodology is proposed for learning preferences from a group of decision makers (DMs). The methodology is built on a multi-criteria framework allowing imprecise observations/measurements, where DMs reveal their attitudes in linguistic form and receive from the system their associated type, characterized by a preference order of the alternatives, together with the amount of consensus and dissention existing among the group. Following on the system's feedback, DMs can negotiate on a common attitude while searching for a satisfactory decision.

U2 - 10.1007/978-3-319-23240-9_7

DO - 10.1007/978-3-319-23240-9_7

M3 - Article in proceedings

SN - 978-3-319-23239-3

T3 - Lecture notes in computer science

SP - 78

EP - 89

BT - Modeling Decisions for Artificial Intelligence

A2 - Torra, Vicenc

A2 - Narukawa, Torra

PB - Springer Publishing Company

ER -

ID: 162454240