Compromise chance measure for hybrid events

Xiang Li; Baoding Liu

doi:10.1109/FUZZY.2007.4295410

Compromise chance measure for hybrid events

Xiang Li^*
, Baoding Liu

^*Corresponding author for this work

Tsinghua University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Hybrid variable is a tool to deal with the fuzziness and randomness that simultaneously appear in a system. In order to measure hybrid event, a concept of compromise chance measure is proposed in this paper. Furthermore, some useful theorems about this measure such as monotonicity, self-duality are proved. Furthermore, the expected value and variance are defined, and the maximum variance theorem is proved.

Original language	English
Title of host publication	2007 IEEE International Conference on Fuzzy Systems, FUZZY
DOIs	https://doi.org/10.1109/FUZZY.2007.4295410
Publication status	Published - 2007
Externally published	Yes
Event	2007 IEEE International Conference on Fuzzy Systems, FUZZY - London, United Kingdom Duration: 23 Jul 2007 → 26 Jul 2007

Publication series

Name	IEEE International Conference on Fuzzy Systems
ISSN (Print)	1098-7584

Conference

Conference	2007 IEEE International Conference on Fuzzy Systems, FUZZY
Country/Territory	United Kingdom
City	London
Period	23/07/07 → 26/07/07

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10.1109/FUZZY.2007.4295410

Cite this

@inproceedings{36c710bc06eb41d5b29d96d5f31736ff,

title = "Compromise chance measure for hybrid events",

abstract = "Hybrid variable is a tool to deal with the fuzziness and randomness that simultaneously appear in a system. In order to measure hybrid event, a concept of compromise chance measure is proposed in this paper. Furthermore, some useful theorems about this measure such as monotonicity, self-duality are proved. Furthermore, the expected value and variance are defined, and the maximum variance theorem is proved.",

author = "Xiang Li and Baoding Liu",

year = "2007",

doi = "10.1109/FUZZY.2007.4295410",

language = "English",

isbn = "1424412102",

series = "IEEE International Conference on Fuzzy Systems",

booktitle = "2007 IEEE International Conference on Fuzzy Systems, FUZZY",

note = "2007 IEEE International Conference on Fuzzy Systems, FUZZY ; Conference date: 23-07-2007 Through 26-07-2007",

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AU - Li, Xiang

AU - Liu, Baoding

PY - 2007

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N2 - Hybrid variable is a tool to deal with the fuzziness and randomness that simultaneously appear in a system. In order to measure hybrid event, a concept of compromise chance measure is proposed in this paper. Furthermore, some useful theorems about this measure such as monotonicity, self-duality are proved. Furthermore, the expected value and variance are defined, and the maximum variance theorem is proved.

AB - Hybrid variable is a tool to deal with the fuzziness and randomness that simultaneously appear in a system. In order to measure hybrid event, a concept of compromise chance measure is proposed in this paper. Furthermore, some useful theorems about this measure such as monotonicity, self-duality are proved. Furthermore, the expected value and variance are defined, and the maximum variance theorem is proved.

UR - https://www.scopus.com/pages/publications/50249162731

U2 - 10.1109/FUZZY.2007.4295410

DO - 10.1109/FUZZY.2007.4295410

M3 - Conference contribution

AN - SCOPUS:50249162731

SN - 1424412102

SN - 9781424412105

T3 - IEEE International Conference on Fuzzy Systems

BT - 2007 IEEE International Conference on Fuzzy Systems, FUZZY

T2 - 2007 IEEE International Conference on Fuzzy Systems, FUZZY

Y2 - 23 July 2007 through 26 July 2007

ER -

Compromise chance measure for hybrid events

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