Decision making of facility locations based on fuzzy probability distribution function

P. C. Lin; S. Wang; J. Watada

doi:10.1109/IEEM.2010.5674624

Decision making of facility locations based on fuzzy probability distribution function

P. C. Lin^*, S. Wang, J. Watada

^*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

Facility locations can appear to be a challenge for both novice and experienced analysts. But, it is far more efficient if its decision making follows a logical, systematic procedure. Such an approach markedly increases the chances of finding a location and improves the firm's objectives. This paper aims to provide Fuzzy Probability Distribution Functions (FPDF) so that the decision making can be pursued under hybrid uncertainly. FPDF is defined using three parameters of central point, right radius and left radius. Moreover, a new fuzzy probability distribution function is defined on the basis of these three parameters. When FPDF are properly generated, the functions can easily be used in the decision making of facility locations by means of optimal model proposed in Shuming Wang, et al..

Original language	English
Title of host publication	IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management
Pages	1911-1915
Number of pages	5
DOIs	https://doi.org/10.1109/IEEM.2010.5674624
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

Fuzzy random variables
Fuzzy statistic
Location decision
Probability distribution function

ASJC Scopus subject areas

Industrial and Manufacturing Engineering

Access to Document

10.1109/IEEM.2010.5674624

Cite this

Lin, PC, Wang, S & Watada, J 2010, Decision making of facility locations based on fuzzy probability distribution function. in IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management., 5674624, pp. 1911-1915, IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2010, Macao, 10/12/7. https://doi.org/10.1109/IEEM.2010.5674624

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title = "Decision making of facility locations based on fuzzy probability distribution function",

abstract = "Facility locations can appear to be a challenge for both novice and experienced analysts. But, it is far more efficient if its decision making follows a logical, systematic procedure. Such an approach markedly increases the chances of finding a location and improves the firm's objectives. This paper aims to provide Fuzzy Probability Distribution Functions (FPDF) so that the decision making can be pursued under hybrid uncertainly. FPDF is defined using three parameters of central point, right radius and left radius. Moreover, a new fuzzy probability distribution function is defined on the basis of these three parameters. When FPDF are properly generated, the functions can easily be used in the decision making of facility locations by means of optimal model proposed in Shuming Wang, et al..",

keywords = "Fuzzy random variables, Fuzzy statistic, Location decision, Probability distribution function",

author = "Lin, {P. C.} and S. Wang and J. Watada",

year = "2010",

doi = "10.1109/IEEM.2010.5674624",

language = "English",

isbn = "9781424485031",

pages = "1911--1915",

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

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AU - Lin, P. C.

AU - Wang, S.

AU - Watada, J.

PY - 2010

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N2 - Facility locations can appear to be a challenge for both novice and experienced analysts. But, it is far more efficient if its decision making follows a logical, systematic procedure. Such an approach markedly increases the chances of finding a location and improves the firm's objectives. This paper aims to provide Fuzzy Probability Distribution Functions (FPDF) so that the decision making can be pursued under hybrid uncertainly. FPDF is defined using three parameters of central point, right radius and left radius. Moreover, a new fuzzy probability distribution function is defined on the basis of these three parameters. When FPDF are properly generated, the functions can easily be used in the decision making of facility locations by means of optimal model proposed in Shuming Wang, et al..

AB - Facility locations can appear to be a challenge for both novice and experienced analysts. But, it is far more efficient if its decision making follows a logical, systematic procedure. Such an approach markedly increases the chances of finding a location and improves the firm's objectives. This paper aims to provide Fuzzy Probability Distribution Functions (FPDF) so that the decision making can be pursued under hybrid uncertainly. FPDF is defined using three parameters of central point, right radius and left radius. Moreover, a new fuzzy probability distribution function is defined on the basis of these three parameters. When FPDF are properly generated, the functions can easily be used in the decision making of facility locations by means of optimal model proposed in Shuming Wang, et al..

KW - Fuzzy random variables

KW - Fuzzy statistic

KW - Location decision

KW - Probability distribution function

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AN - SCOPUS:78751680601

SN - 9781424485031

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

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Y2 - 7 December 2010 through 10 December 2010

ER -

Decision making of facility locations based on fuzzy probability distribution function

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Keywords

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