Building fuzzy random objective function for interval fuzzy goal programming

A. Nureize; J. Watada

doi:10.1109/IEEM.2010.5674223

Building fuzzy random objective function for interval fuzzy goal programming

A. Nureize^*, J. Watada

^*Corresponding author for this work

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

12 Citations (Scopus)

Abstract

Estimating the coefficients of objective functions in multi-objective model is sometimes difficult in real situations. Mathematical analysis of statistical data is used to determine the coefficients. In various cases, the statistical data may not contain only randomness, but also fuzziness, which should be treated properly. Thus, this paper employs fuzzy random regression model to approximate the coefficients values for objective functions of multi-objective model. The presented model consists of two stages; first, developing the objective functions by fuzzy random regression model and second, introducing an interval fuzzy goal programming model to solve the multi-objective problem. An experimental example is provided to illustrate the model.

Original language	English
Title of host publication	IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management
Pages	980-984
Number of pages	5
DOIs	https://doi.org/10.1109/IEEM.2010.5674223
Publication status	Published - 2010
Event	IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2010 - Macao Duration: 2010 Dec 7 → 2010 Dec 10

Other

Other	IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2010
City	Macao
Period	10/12/7 → 10/12/10

Keywords

Coefficient
Fuzzy random regression
Interval fuzzy goal program
Objective functions

ASJC Scopus subject areas

Industrial and Manufacturing Engineering

Access to Document

10.1109/IEEM.2010.5674223

Cite this

Nureize, A & Watada, J 2010, Building fuzzy random objective function for interval fuzzy goal programming. in IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management., 5674223, pp. 980-984, IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2010, Macao, 10/12/7. https://doi.org/10.1109/IEEM.2010.5674223

@inproceedings{c656decac0ec4f599bbfcc2df0001f15,

title = "Building fuzzy random objective function for interval fuzzy goal programming",

abstract = "Estimating the coefficients of objective functions in multi-objective model is sometimes difficult in real situations. Mathematical analysis of statistical data is used to determine the coefficients. In various cases, the statistical data may not contain only randomness, but also fuzziness, which should be treated properly. Thus, this paper employs fuzzy random regression model to approximate the coefficients values for objective functions of multi-objective model. The presented model consists of two stages; first, developing the objective functions by fuzzy random regression model and second, introducing an interval fuzzy goal programming model to solve the multi-objective problem. An experimental example is provided to illustrate the model.",

keywords = "Coefficient, Fuzzy random regression, Interval fuzzy goal program, Objective functions",

author = "A. Nureize and J. Watada",

year = "2010",

doi = "10.1109/IEEM.2010.5674223",

language = "English",

isbn = "9781424485031",

pages = "980--984",

booktitle = "IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management",

note = "IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2010 ; Conference date: 07-12-2010 Through 10-12-2010",

}

TY - GEN

T1 - Building fuzzy random objective function for interval fuzzy goal programming

AU - Nureize, A.

AU - Watada, J.

PY - 2010

Y1 - 2010

N2 - Estimating the coefficients of objective functions in multi-objective model is sometimes difficult in real situations. Mathematical analysis of statistical data is used to determine the coefficients. In various cases, the statistical data may not contain only randomness, but also fuzziness, which should be treated properly. Thus, this paper employs fuzzy random regression model to approximate the coefficients values for objective functions of multi-objective model. The presented model consists of two stages; first, developing the objective functions by fuzzy random regression model and second, introducing an interval fuzzy goal programming model to solve the multi-objective problem. An experimental example is provided to illustrate the model.

AB - Estimating the coefficients of objective functions in multi-objective model is sometimes difficult in real situations. Mathematical analysis of statistical data is used to determine the coefficients. In various cases, the statistical data may not contain only randomness, but also fuzziness, which should be treated properly. Thus, this paper employs fuzzy random regression model to approximate the coefficients values for objective functions of multi-objective model. The presented model consists of two stages; first, developing the objective functions by fuzzy random regression model and second, introducing an interval fuzzy goal programming model to solve the multi-objective problem. An experimental example is provided to illustrate the model.

KW - Coefficient

KW - Fuzzy random regression

KW - Interval fuzzy goal program

KW - Objective functions

UR - http://www.scopus.com/inward/record.url?scp=78751686637&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=78751686637&partnerID=8YFLogxK

U2 - 10.1109/IEEM.2010.5674223

DO - 10.1109/IEEM.2010.5674223

M3 - Conference contribution

AN - SCOPUS:78751686637

SN - 9781424485031

SP - 980

EP - 984

BT - IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management

T2 - IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2010

Y2 - 7 December 2010 through 10 December 2010

ER -

Building fuzzy random objective function for interval fuzzy goal programming

Abstract

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Cite this