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रफ-एआरएएस×क्राइटेरियन इम्पैक्ट एलओएसएस ऑब्जेक्टिव वेटिंग मेथड (CILOS)×
क्षेत्रनिर्णयननिर्णयन
परिवारMCDMMCDM
उद्भव वर्ष20212016
प्रवर्तकDaoud Ben Amor, W., Moalla Frikha, H., Martínez López, L.Zavadskas, E. K., Podvezko, V.
प्रकारRough outranking/ranking — Rough number (lower approximation L, upper approximation U)Relative criterion-loss matrix weighting (Mirkin theorem based)
मौलिक स्रोतDaoud Ben Amor, W., Moalla Frikha, H., Martínez López, L. (2021). The Interval Rough Number of the Extended ARAS Method for Solving Multi-Criteria Group Decision Making. 2021 International Conference on Decision Aid Sciences and Application (DASA) DOI ↗Zavadskas, E. K., Podvezko, V. (2016). Integrated Determination of Objective Criteria Weights in MCDM. International Journal of Information Technology & Decision Making DOI ↗
उपनाम
संबंधित88
सारांशROUGH-ARAS (Rough-ARAS — Rough extension of ARAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Daoud Ben Amor, W., Moalla Frikha, H., Martínez López, L. in 2021. 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.
ScholarGateडेटासेट
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  2. 1 स्रोत
  3. PUBLISHED
  1. v1
  2. 1 स्रोत
  3. PUBLISHED

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