Formal approach to the analysis of priorities of imprecise conflicting requirements

John Yen, Frank X Q Liu

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

Priority analysis is one of the most important issues in the trade-off analysis of imprecise conflicting requirements whose elasticity is captured using fuzzy logic. Requirement analysts need to know not only the relative ordering of requirements based on their importance but also how much a requirement is more important than another requirement in order to achieve an effective trade-off. This paper presents a formal approach for reasoning about the relative priority by analyzing the customer's trade-off preference among imprecise conflicting requirements. A possibilistic reasoning framework for inferring the relative priority from case analysis under uncertainty is also developed.

Original languageEnglish (US)
Pages (from-to)164-167
Number of pages4
JournalProceedings of the International Conference on Tools with Artificial Intelligence
StatePublished - Dec 1 1995
EventProceedings of the 1995 IEEE 7th International Conference on Tools with Artificial Intelligence - Herndon, VA, USA
Duration: Nov 5 1995Nov 8 1995

Fingerprint

Fuzzy logic
Elasticity
Uncertainty

All Science Journal Classification (ASJC) codes

  • Software

Cite this

@article{a9cac98b2ad54787b896144ffd9aae2a,
title = "Formal approach to the analysis of priorities of imprecise conflicting requirements",
abstract = "Priority analysis is one of the most important issues in the trade-off analysis of imprecise conflicting requirements whose elasticity is captured using fuzzy logic. Requirement analysts need to know not only the relative ordering of requirements based on their importance but also how much a requirement is more important than another requirement in order to achieve an effective trade-off. This paper presents a formal approach for reasoning about the relative priority by analyzing the customer's trade-off preference among imprecise conflicting requirements. A possibilistic reasoning framework for inferring the relative priority from case analysis under uncertainty is also developed.",
author = "John Yen and Liu, {Frank X Q}",
year = "1995",
month = "12",
day = "1",
language = "English (US)",
pages = "164--167",
journal = "Proceedings of the International Conference on Tools with Artificial Intelligence",
issn = "1063-6730",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Formal approach to the analysis of priorities of imprecise conflicting requirements

AU - Yen, John

AU - Liu, Frank X Q

PY - 1995/12/1

Y1 - 1995/12/1

N2 - Priority analysis is one of the most important issues in the trade-off analysis of imprecise conflicting requirements whose elasticity is captured using fuzzy logic. Requirement analysts need to know not only the relative ordering of requirements based on their importance but also how much a requirement is more important than another requirement in order to achieve an effective trade-off. This paper presents a formal approach for reasoning about the relative priority by analyzing the customer's trade-off preference among imprecise conflicting requirements. A possibilistic reasoning framework for inferring the relative priority from case analysis under uncertainty is also developed.

AB - Priority analysis is one of the most important issues in the trade-off analysis of imprecise conflicting requirements whose elasticity is captured using fuzzy logic. Requirement analysts need to know not only the relative ordering of requirements based on their importance but also how much a requirement is more important than another requirement in order to achieve an effective trade-off. This paper presents a formal approach for reasoning about the relative priority by analyzing the customer's trade-off preference among imprecise conflicting requirements. A possibilistic reasoning framework for inferring the relative priority from case analysis under uncertainty is also developed.

UR - http://www.scopus.com/inward/record.url?scp=0029511731&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0029511731&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0029511731

SP - 164

EP - 167

JO - Proceedings of the International Conference on Tools with Artificial Intelligence

JF - Proceedings of the International Conference on Tools with Artificial Intelligence

SN - 1063-6730

ER -