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درخت تصمیم×نقشه‌های شناختی فازی (FCM)×
حوزهیادگیری ماشینمحاسبات نرم
خانوادهMachine learningProcess / pipeline
سال پیدایش19841986
پدیدآورBreiman, Friedman, Olshen & StoneBart Kosko
نوعRecursive partitioning (if-then rules)Fuzzy causal/feedback network for scenario analysis
منبع بنیادینBreiman, L., Friedman, J.H., Olshen, R.A. & Stone, C.J. (1984). Classification and Regression Trees. Wadsworth. DOI ↗Kosko, B. (1986). Fuzzy cognitive maps. International Journal of Man-Machine Studies, 24(1), 65–75. DOI ↗
نام‌های دیگرKarar Ağacı (Decision Tree), karar ağacı, classification tree, regression treeFCM, Kosko cognitive map, causal cognitive map, bulanık bilişsel haritalar
مرتبط54
خلاصهA Decision Tree is an interpretable classification and regression method, formalised by Breiman, Friedman, Olshen and Stone in their 1984 CART framework, that partitions the data with hierarchical if-then rules. Each split sends observations down one branch or another until a prediction is read off the leaf.A fuzzy cognitive map, introduced by Bart Kosko in 1986, represents a system as a network of concepts connected by signed, weighted causal links, and simulates how the concepts influence one another over time. By combining the intuitive structure of a cognitive map with fuzzy weights and iterative activation, FCMs let experts encode causal knowledge and then run what-if scenarios — making them popular for policy analysis, strategic decision-making, and modelling complex socio-technical systems.
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ScholarGateمقایسهٔ روش‌ها: Decision Tree · Fuzzy Cognitive Maps. بازیابی‌شده در 2026-06-17 از https://scholargate.app/fa/compare