مقایسهٔ روش‌ها

	UTA تصادفی (توابع مطلوبیت افزایشی (تجزیه ترجیحات تحت عدم قطعیت))	اندازه‌گیری گزینه‌ها و رتبه‌بندی بر اساس راه‌حل مصالحه	تکنیک اولویت‌بندی بر اساس شباهت به راه‌حل ایده‌آل
حوزه	تصمیم‌گیری	تصمیم‌گیری	تصمیم‌گیری
خانواده	MCDM	MCDM	MCDM
سال پیدایش	1982 — stochastic extension Stavrou-Ventikos-Tsoukalas 2018 Springer	2020	1981
پدیدآور	Stavrou, D. I.; Ventikos, N. P.; Tsoukalas, V. D. (2018) — STOCHASTIC-UTA seminal chapter Jacquet-Lagrèze, E.; Siskos, J. (1982) — classical UTA foundation Siskos, Y. (1980) — preference disaggregation theory	Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P.	Hwang, C. L., Yoon, K.
نوع	Preference disaggregation with LP utility fitting + Monte Carlo acceptability analysis	Utility function (ideal + anti-ideal reference)	Distance-based (compromise)
منبع بنیادین	Stavrou, D. I., Ventikos, N. P., Tsoukalas, V. D. (2018). Robust Evaluation of Risks in Ship-to-Ship Transfer Operations: Application of the STOCHASTIC UTA Multicriteria Decision Support Method. In Lee, P. T. W. & Yang, Z. (Eds.), Multi-criteria Decision Making in Maritime Studies and Logistics (pp. 161–185). Springer.	Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P. (2020). Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS). Computers & Industrial Engineering	Hwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications — A State-of-the-Art Survey. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag
نام‌های دیگر	—	—	—
مرتبط	3	8	8
خلاصه	STOCHASTIC-UTA (Stochastic UTilités Additives (preference-disaggregation under uncertainty)) is a ranking multi-criteria decision-making (MCDM) method introduced by Stavrou, D. I.; Ventikos, N. P.; Tsoukalas, V. D. (2018) — STOCHASTIC-UTA seminal chapter Jacquet-Lagrèze, E.; Siskos, J. (1982) — classical UTA foundation Siskos, Y. (1980) — preference disaggregation theory in 1982 — stochastic extension Stavrou-Ventikos-Tsoukalas 2018 Springer. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	MARCOS (Measurement of Alternatives and Ranking according to Compromise Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Hwang, C. L., Yoon, K. in 1981. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.