Fuzzy random variables — II. Algorithms and examples for the discrete case

H. Kwakernaak

doi:10.1016/0020-0255(79)90020-3

Fuzzy random variables — II. Algorithms and examples for the discrete case

H. Kwakernaak

University of Twente

Research output: Contribution to journal › Article › Academic

427 Citations (Scopus)

343 Downloads (Pure)

Abstract

The results obtained in part I of the paper are specialized to the case of discrete fuzzy random variables. A more intuitive interpretation is given of the notion of fuzzy random variables. Algorithms are derived for determining expectations, fuzzy probabilities, fuzzy conditional expectations and fuzzy conditional probabilities related to discrete fuzzy random variables. These algorithms are applied to illustrative examples. A sample application to a medical diagnosis problem is briefly discussed.

Original language	Undefined
Pages (from-to)	253-278
Journal	Information sciences
Volume	17
Issue number	3
DOIs	https://doi.org/10.1016/0020-0255(79)90020-3
Publication status	Published - 1979

Keywords

IR-68458

Access to Document

10.1016/0020-0255(79)90020-3

Kwakernaak79fuzzy2

Cite this

@article{7f21e0bb37af41c282dd9ff327a0ce28,

title = "Fuzzy random variables — II. Algorithms and examples for the discrete case",

abstract = "The results obtained in part I of the paper are specialized to the case of discrete fuzzy random variables. A more intuitive interpretation is given of the notion of fuzzy random variables. Algorithms are derived for determining expectations, fuzzy probabilities, fuzzy conditional expectations and fuzzy conditional probabilities related to discrete fuzzy random variables. These algorithms are applied to illustrative examples. A sample application to a medical diagnosis problem is briefly discussed.",

keywords = "IR-68458",

author = "H. Kwakernaak",

year = "1979",

doi = "10.1016/0020-0255(79)90020-3",

language = "Undefined",

volume = "17",

pages = "253--278",

journal = "Information sciences",

issn = "0020-0255",

publisher = "Elsevier",

number = "3",

}

TY - JOUR

T1 - Fuzzy random variables — II. Algorithms and examples for the discrete case

AU - Kwakernaak, H.

PY - 1979

Y1 - 1979

N2 - The results obtained in part I of the paper are specialized to the case of discrete fuzzy random variables. A more intuitive interpretation is given of the notion of fuzzy random variables. Algorithms are derived for determining expectations, fuzzy probabilities, fuzzy conditional expectations and fuzzy conditional probabilities related to discrete fuzzy random variables. These algorithms are applied to illustrative examples. A sample application to a medical diagnosis problem is briefly discussed.

AB - The results obtained in part I of the paper are specialized to the case of discrete fuzzy random variables. A more intuitive interpretation is given of the notion of fuzzy random variables. Algorithms are derived for determining expectations, fuzzy probabilities, fuzzy conditional expectations and fuzzy conditional probabilities related to discrete fuzzy random variables. These algorithms are applied to illustrative examples. A sample application to a medical diagnosis problem is briefly discussed.

KW - IR-68458

U2 - 10.1016/0020-0255(79)90020-3

DO - 10.1016/0020-0255(79)90020-3

M3 - Article

SN - 0020-0255

VL - 17

SP - 253

EP - 278

JO - Information sciences

JF - Information sciences

IS - 3

ER -