Arrow decision logic

Tuan Fang Fan; Duen-Ren Liu; Gwo Hshiung Tzeng

doi:10.1007/11548669_67

Arrow decision logic

Tuan Fang Fan^*, Duen-Ren Liu, Gwo Hshiung Tzeng

^*Corresponding author for this work

Institute of Information Management

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

9 Scopus citations

Abstract

In this paper, we propose arrow decision logic (ADL), which combines the main features of decision logic and arrow logic. Decision logic represents and reasons about knowledge extracted from decision tables based on rough set theory, while arrow logic is the basic modal logic of arrows. The semantic models of ADL are pairwise comparison tables, which are useful in rough set-based multicriteria analysis. Consequently, ADL can represent preference knowledge induced from multicriteria decision tables.

Original language	English
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Pages	651-659
Number of pages	9
DOIs	https://doi.org/10.1007/11548669_67
State	Published - 1 May 2006
Event	High-Power Diode Laser Technology and Applications IV - San Jose, CA, United States Duration: 23 Jan 2006 → 25 Jan 2006

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	6104
ISSN (Print)	0277-786X

Conference

Conference	High-Power Diode Laser Technology and Applications IV
Country/Territory	United States
City	San Jose, CA
Period	23/01/06 → 25/01/06

Keywords

Arrow logic
Decision logic
Multicriteria decision analysis
Rough sets

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10.1007/11548669_67

Cite this

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title = "Arrow decision logic",

abstract = "In this paper, we propose arrow decision logic (ADL), which combines the main features of decision logic and arrow logic. Decision logic represents and reasons about knowledge extracted from decision tables based on rough set theory, while arrow logic is the basic modal logic of arrows. The semantic models of ADL are pairwise comparison tables, which are useful in rough set-based multicriteria analysis. Consequently, ADL can represent preference knowledge induced from multicriteria decision tables.",

keywords = "Arrow logic, Decision logic, Multicriteria decision analysis, Rough sets",

author = "Fan, {Tuan Fang} and Duen-Ren Liu and Tzeng, {Gwo Hshiung}",

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T1 - Arrow decision logic

AU - Fan, Tuan Fang

AU - Liu, Duen-Ren

AU - Tzeng, Gwo Hshiung

PY - 2006/5/1

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N2 - In this paper, we propose arrow decision logic (ADL), which combines the main features of decision logic and arrow logic. Decision logic represents and reasons about knowledge extracted from decision tables based on rough set theory, while arrow logic is the basic modal logic of arrows. The semantic models of ADL are pairwise comparison tables, which are useful in rough set-based multicriteria analysis. Consequently, ADL can represent preference knowledge induced from multicriteria decision tables.

AB - In this paper, we propose arrow decision logic (ADL), which combines the main features of decision logic and arrow logic. Decision logic represents and reasons about knowledge extracted from decision tables based on rough set theory, while arrow logic is the basic modal logic of arrows. The semantic models of ADL are pairwise comparison tables, which are useful in rough set-based multicriteria analysis. Consequently, ADL can represent preference knowledge induced from multicriteria decision tables.

KW - Arrow logic

KW - Decision logic

KW - Multicriteria decision analysis

KW - Rough sets

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U2 - 10.1007/11548669_67

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M3 - Conference contribution

AN - SCOPUS:33645970210

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SN - 9780819461469

T3 - Proceedings of SPIE - The International Society for Optical Engineering

SP - 651

EP - 659

BT - Proceedings of SPIE - The International Society for Optical Engineering

T2 - High-Power Diode Laser Technology and Applications IV

Y2 - 23 January 2006 through 25 January 2006

ER -

Arrow decision logic

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