ScholarGate
어시스턴트

방법 비교

선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.

Z-Number 퍼지 로그 방법론의 가중치 합산 (ZF-LMAW)×퍼지 WASPAS×
분야의사결정의사결정
계열MCDMMCDM
기원 연도20222015
창시자Puška, A. Božanić, D. Nedeljković, M. Janošević, M.Turskis, Z., Zavadskas, E.K., Antucheviciene, J., Kosareva, N.
유형Logarithmic anti-ideal weighting under Z-number uncertainty with group aggregationFuzzy outranking/ranking — Triangular Fuzzy Number (TFN: l, m, u)
원전Puška, A., Božanić, D., Nedeljković, M., Janošević, M. (2022). Green Supplier Selection in an Uncertain Environment in Agriculture Using a Hybrid MCDM Model: Z-Numbers–Fuzzy LMAW–Fuzzy CRADIS Model. Axioms DOI ↗Turskis, Z., Zavadskas, E.K., Antucheviciene, J., Kosareva, N. (2015). A Hybrid Model Based on Fuzzy AHP and Fuzzy WASPAS for Construction Site Selection. International Journal of Computers Communications & Control DOI ↗
별칭
관련82
요약ZF-LMAW (Z-Number Fuzzy Logarithm Methodology of Additive Weights) is a weighting multi-criteria decision-making (MCDM) method introduced by Puška, A. Božanić, D. Nedeljković, M. Janošević, M. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.FUZZY-WASPAS (Fuzzy WASPAS — Fuzzy extension of WASPAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Turskis, Z., Zavadskas, E.K., Antucheviciene, J., Kosareva, N. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
ScholarGate데이터셋
  1. v1
  2. 1 출처
  3. PUBLISHED
  1. v1
  2. 1 출처
  3. PUBLISHED

검색으로 이동 슬라이드 다운로드

ScholarGate방법 비교: ZF-LMAW · FUZZY-WASPAS. 2026-06-17에 다음에서 검색함: https://scholargate.app/ko/compare