Possibilistic programming decision making in modality perspective

Arbaiy Nureize; Junzo Watada

doi:10.1109/IEEM.2011.6118009

Possibilistic programming decision making in modality perspective

Arbaiy Nureize^*, Junzo Watada

^*Corresponding author for this work

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

Abstract

The decision making faces a number of inherent uncertainties. The uncertainty of parameters of a model comes from vagueness and ambiguity included in the model structure and information. In this paper we present the decision model from the perspective of possibilistic programming to treat properly uncertainties in the decision making. The proposed concept plays a pivotal role in building fuzzy linear programming model, which is exposed with various types of uncertainties. The treatment of vagueness and ambiguity is given and a modality approach is used to solve the fuzzy linear program. An illustrative example explains the proposed model.

Original language	English
Title of host publication	IEEE International Conference on Industrial Engineering and Engineering Management
Pages	709-713
Number of pages	5
DOIs	https://doi.org/10.1109/IEEM.2011.6118009
Publication status	Published - 2011
Event	IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011 - Singapore Duration: 2011 Dec 6 → 2011 Dec 9

Other

Other	IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011
City	Singapore
Period	11/12/6 → 11/12/9

Keywords

necessity measure
Possibilistic programming
possibility measure

ASJC Scopus subject areas

Business, Management and Accounting (miscellaneous)
Industrial and Manufacturing Engineering
Safety, Risk, Reliability and Quality

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10.1109/IEEM.2011.6118009

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title = "Possibilistic programming decision making in modality perspective",

abstract = "The decision making faces a number of inherent uncertainties. The uncertainty of parameters of a model comes from vagueness and ambiguity included in the model structure and information. In this paper we present the decision model from the perspective of possibilistic programming to treat properly uncertainties in the decision making. The proposed concept plays a pivotal role in building fuzzy linear programming model, which is exposed with various types of uncertainties. The treatment of vagueness and ambiguity is given and a modality approach is used to solve the fuzzy linear program. An illustrative example explains the proposed model.",

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author = "Arbaiy Nureize and Junzo Watada",

year = "2011",

doi = "10.1109/IEEM.2011.6118009",

language = "English",

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AU - Watada, Junzo

PY - 2011

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N2 - The decision making faces a number of inherent uncertainties. The uncertainty of parameters of a model comes from vagueness and ambiguity included in the model structure and information. In this paper we present the decision model from the perspective of possibilistic programming to treat properly uncertainties in the decision making. The proposed concept plays a pivotal role in building fuzzy linear programming model, which is exposed with various types of uncertainties. The treatment of vagueness and ambiguity is given and a modality approach is used to solve the fuzzy linear program. An illustrative example explains the proposed model.

AB - The decision making faces a number of inherent uncertainties. The uncertainty of parameters of a model comes from vagueness and ambiguity included in the model structure and information. In this paper we present the decision model from the perspective of possibilistic programming to treat properly uncertainties in the decision making. The proposed concept plays a pivotal role in building fuzzy linear programming model, which is exposed with various types of uncertainties. The treatment of vagueness and ambiguity is given and a modality approach is used to solve the fuzzy linear program. An illustrative example explains the proposed model.

KW - necessity measure

KW - Possibilistic programming

KW - possibility measure

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U2 - 10.1109/IEEM.2011.6118009

DO - 10.1109/IEEM.2011.6118009

M3 - Conference contribution

AN - SCOPUS:84856529124

SN - 9781457707391

SP - 709

EP - 713

BT - IEEE International Conference on Industrial Engineering and Engineering Management

T2 - IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011

Y2 - 6 December 2011 through 9 December 2011

ER -

Possibilistic programming decision making in modality perspective

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Keywords

ASJC Scopus subject areas

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