HOQ's implicit requirements assessment: A fuzzy logic-based method

Cecilia Temponi, John Yen, W. Amos Tiao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The House of Quality (HOQ) is used to identify the relationships between products/services requirements based on the perceptions of customers and experts from a multidisciplinary team. The foundation of the house of quality is the belief that products should be designed to reflect customers' desires and taste. There are two issues in analyzing these requirements using HOQ. First, requirements are often described informally using vague terms; this makes it difficult to meet customer's needs. Second, identifying relationships between requirements is often time consuming, thus, arriving at a group consensus on some relationships between requirements could be cumbersome. To address these issues, we have developed a fuzzy logic-based extension to HOQ for capturing imprecise requirements. We developed a heuristic inference scheme to reason about the implicit relationships between requirements. A textile mill supply business application is used to illustrate our approach.

Original languageEnglish (US)
Title of host publicationAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS
PublisherIEEE
Pages21-26
Number of pages6
StatePublished - 1997
EventProceedings of the 1997 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'97 - Syracuse, NY, USA
Duration: Sep 21 1997Sep 24 1997

Other

OtherProceedings of the 1997 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'97
CitySyracuse, NY, USA
Period9/21/979/24/97

Fingerprint

Textile mills
Fuzzy Logic
Fuzzy logic
Requirements
Industry
Customers
Heuristics
Relationships
Term

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

Cite this

Temponi, C., Yen, J., & Tiao, W. A. (1997). HOQ's implicit requirements assessment: A fuzzy logic-based method. In Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS (pp. 21-26). IEEE.
Temponi, Cecilia ; Yen, John ; Tiao, W. Amos. / HOQ's implicit requirements assessment : A fuzzy logic-based method. Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS. IEEE, 1997. pp. 21-26
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Temponi, C, Yen, J & Tiao, WA 1997, HOQ's implicit requirements assessment: A fuzzy logic-based method. in Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS. IEEE, pp. 21-26, Proceedings of the 1997 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'97, Syracuse, NY, USA, 9/21/97.

HOQ's implicit requirements assessment : A fuzzy logic-based method. / Temponi, Cecilia; Yen, John; Tiao, W. Amos.

Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS. IEEE, 1997. p. 21-26.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - The House of Quality (HOQ) is used to identify the relationships between products/services requirements based on the perceptions of customers and experts from a multidisciplinary team. The foundation of the house of quality is the belief that products should be designed to reflect customers' desires and taste. There are two issues in analyzing these requirements using HOQ. First, requirements are often described informally using vague terms; this makes it difficult to meet customer's needs. Second, identifying relationships between requirements is often time consuming, thus, arriving at a group consensus on some relationships between requirements could be cumbersome. To address these issues, we have developed a fuzzy logic-based extension to HOQ for capturing imprecise requirements. We developed a heuristic inference scheme to reason about the implicit relationships between requirements. A textile mill supply business application is used to illustrate our approach.

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Temponi C, Yen J, Tiao WA. HOQ's implicit requirements assessment: A fuzzy logic-based method. In Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS. IEEE. 1997. p. 21-26