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확률적 언어적 EDAS 확장법×CILOS (Criterion Impact LOSs objective weighting method) 방법×
분야의사결정의사결정
계열MCDMMCDM
기원 연도20162016
창시자Pang, Q. Wang, H. Xu, Z.Zavadskas, E. K., Podvezko, V.
유형Probabilistic Linguistic outranking/ranking — Probabilistic Linguistic Term Set (PLTS: {L_k|p_k})Relative criterion-loss matrix weighting (Mirkin theorem based)
원전Pang, Q., Wang, H., Xu, Z. (2016). Probabilistic linguistic term sets in multi-attribute group decision making. Information Sciences DOI ↗Zavadskas, E. K., Podvezko, V. (2016). Integrated Determination of Objective Criteria Weights in MCDM. International Journal of Information Technology & Decision Making DOI ↗
별칭
관련88
요약PL-EDAS (Probabilistic Linguistic extension of EDAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Pang, Q. Wang, H. Xu, Z. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.CILOS (Criterion Impact LOSs objective weighting method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Podvezko, V. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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