Porovnať metódy

	m-Polárne váhavé fuzzy TOPSIS (Akram, Adeel & Alcantud 2019, Symmetry 11(6):795)	Analytic Hierarchy Process	Metóda najlepšieho a najhoršieho (Best-Worst Method)	Metóda váh založená na Shannonovej entropii
Odbor	Rozhodovanie	Rozhodovanie	Rozhodovanie	Rozhodovanie
Rodina	MCDM	MCDM	MCDM	MCDM
Rok vzniku	2019	1980	2015	1948
Tvorca	Akram, M., Adeel, A., Alcantud, J. C. R.	Saaty, T. L.	Rezaei, J.	Shannon, C. E.
Typ	Distance-based ranking — m-polar hesitant fuzzy TOPSIS — pole-wise max/min ideals on a weighted mHF decision matrix (Eqs. 1–2), mHF Euclidean distance (Eqs. 3–4), closeness coefficient E_j' (Eq. 5)	Pairwise comparison (eigenvalue)	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Information-theoretic objective weighting (Shannon entropy)
Pôvodný zdroj	Akram, M., Adeel, A., Alcantud, J. C. R. (2019). Multi-Criteria Group Decision-Making Using an m-Polar Hesitant Fuzzy TOPSIS Approach. Symmetry (MDPI)	Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713	Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega	Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal
Ďalšie názvy	—	—	—	—
Príbuzné	3	8	8	8
Zhrnutie	MPF-HF-TOPSIS (m-Polar Hesitant Fuzzy TOPSIS (Akram, Adeel & Alcantud 2019, Symmetry 11(6):795) — multi-criteria group decision-making by extending TOPSIS to the m-polar hesitant fuzzy (mHF) set framework; pole-wise mHPIS/mHNIS extraction, mHF Euclidean distance and closeness coefficient ranking) is a ranking multi-criteria decision-making (MCDM) method introduced by Akram, M., Adeel, A., Alcantud, J. C. R. in 2019. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	AHP (Analytic Hierarchy Process) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Saaty, T. L. in 1980. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	BWM (Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Rezaei, J. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	ENTROPY (Shannon Entropy Weighting Method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Shannon, C. E. in 1948. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.