Studying distribution functions of fuzzy random variables and its applications to critical value functions

Shuming Wang, Junzo Watada

Research output: Contribution to journalArticle

25 Citations (Scopus)

Abstract

In many fuzzy random optimization models, the objectives and constraints may consist of some distribution functions and critical value functions of prescribed fuzzy random variables. Therefore, we need to analyze the properties of those distribution functions and critical value functions so as to design more precise algorithms to solve such optimization problems. In this paper, we deal with the analytical properties of distributions functions of fuzzy random variables and discuss its applications to critical value functions. We first establish some continuity theorems for distribution functions of fuzzy random variables, which characterize the properties of right continuity, left continuity and continuity, respectively. Then, applying those continuity theorems, we study the properties of critical value functions of fuzzy random variables. The results obtained in this paper are useful in fuzzy random programming models.

Original language English 279-292 14 International Journal of Innovative Computing, Information and Control 5 2 Published - 2009 Feb

Fingerprint

Fuzzy Random Variable
Random variables
Value Function
Distribution functions
Critical value
Distribution Function
Theorem
Optimization Model
Programming Model
Optimization Problem

Keywords

• Continuity theorem
• Critical value function
• Distribution function
• Fuzzy random optimization
• Fuzzy random variable

ASJC Scopus subject areas

• Computational Theory and Mathematics
• Information Systems
• Software
• Theoretical Computer Science

Cite this

Studying distribution functions of fuzzy random variables and its applications to critical value functions. / Wang, Shuming; Watada, Junzo.

In: International Journal of Innovative Computing, Information and Control, Vol. 5, No. 2, 02.2009, p. 279-292.

Research output: Contribution to journalArticle

@article{cd8fbcc8a5ac44908c3950e394480ccd,
title = "Studying distribution functions of fuzzy random variables and its applications to critical value functions",
abstract = "In many fuzzy random optimization models, the objectives and constraints may consist of some distribution functions and critical value functions of prescribed fuzzy random variables. Therefore, we need to analyze the properties of those distribution functions and critical value functions so as to design more precise algorithms to solve such optimization problems. In this paper, we deal with the analytical properties of distributions functions of fuzzy random variables and discuss its applications to critical value functions. We first establish some continuity theorems for distribution functions of fuzzy random variables, which characterize the properties of right continuity, left continuity and continuity, respectively. Then, applying those continuity theorems, we study the properties of critical value functions of fuzzy random variables. The results obtained in this paper are useful in fuzzy random programming models.",
keywords = "Continuity theorem, Critical value function, Distribution function, Fuzzy random optimization, Fuzzy random variable",
author = "Shuming Wang and Junzo Watada",
year = "2009",
month = "2",
language = "English",
volume = "5",
pages = "279--292",
journal = "International Journal of Innovative Computing, Information and Control",
issn = "1349-4198",
publisher = "IJICIC Editorial Office",
number = "2",

}

TY - JOUR

T1 - Studying distribution functions of fuzzy random variables and its applications to critical value functions

AU - Wang, Shuming

AU - Watada, Junzo

PY - 2009/2

Y1 - 2009/2

N2 - In many fuzzy random optimization models, the objectives and constraints may consist of some distribution functions and critical value functions of prescribed fuzzy random variables. Therefore, we need to analyze the properties of those distribution functions and critical value functions so as to design more precise algorithms to solve such optimization problems. In this paper, we deal with the analytical properties of distributions functions of fuzzy random variables and discuss its applications to critical value functions. We first establish some continuity theorems for distribution functions of fuzzy random variables, which characterize the properties of right continuity, left continuity and continuity, respectively. Then, applying those continuity theorems, we study the properties of critical value functions of fuzzy random variables. The results obtained in this paper are useful in fuzzy random programming models.

AB - In many fuzzy random optimization models, the objectives and constraints may consist of some distribution functions and critical value functions of prescribed fuzzy random variables. Therefore, we need to analyze the properties of those distribution functions and critical value functions so as to design more precise algorithms to solve such optimization problems. In this paper, we deal with the analytical properties of distributions functions of fuzzy random variables and discuss its applications to critical value functions. We first establish some continuity theorems for distribution functions of fuzzy random variables, which characterize the properties of right continuity, left continuity and continuity, respectively. Then, applying those continuity theorems, we study the properties of critical value functions of fuzzy random variables. The results obtained in this paper are useful in fuzzy random programming models.

KW - Continuity theorem

KW - Critical value function

KW - Distribution function

KW - Fuzzy random optimization

KW - Fuzzy random variable

UR - http://www.scopus.com/inward/record.url?scp=61749100218&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=61749100218&partnerID=8YFLogxK

M3 - Article

VL - 5

SP - 279

EP - 292

JO - International Journal of Innovative Computing, Information and Control

JF - International Journal of Innovative Computing, Information and Control

SN - 1349-4198

IS - 2

ER -