A Novel Framework Utilizing Bayesian Networks Structured as Logical Syllogisms to Determine Sufficiency of Early Stage Ship Design Knowledge Queries
A Novel Framework Utilizing Bayesian Networks Structured as Logical Syllogisms to Determine Sufficiency of Early Stage Ship Design Knowledge Queries
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20220210094936
- ISBN
- 9798471103771
- DDC
- 621
- 서명/저자
- A Novel Framework Utilizing Bayesian Networks Structured as Logical Syllogisms to Determine Sufficiency of Early Stage Ship Design Knowledge Queries
- 발행사항
- [Sl] : University of Michigan, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 144 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-05, Section: B.
- 주기사항
- Advisor: Singer, David J.
- 학위논문주기
- Thesis (Ph.D.)--University of Michigan, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 사용제한주기
- This item must not be added to any third party search indexes.
- 일반주제명
- Naval engineering
- 일반주제명
- Logic
- 일반주제명
- Design
- 키워드
- Decision-making
- 키워드
- Syllogisms
- 키워드
- Sufficiency
- 기타저자
- University of Michigan Naval Architecture & Marine Engineering
- 기본자료저록
- Dissertations Abstracts International. 83-05B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.