m-Polar back to the data type card14 methods
m-Polar
Methods that work with m-Polar data
Every method that works with this data type has a page of its own. Those with an academy card are explained here through their philosophy, how to read their output and worked cases; the rest open on their formula page in the library.
14 academy cards · 0 only in the library · 14 methods in the catalogue
Methods with an academy card
14 cards- Aggregation and votingMPF DOMBI WAMPF-DOMBI-WA combines an alternative's m-polar fuzzy assessments across several criteria into a single summary assessment using the Dombi operator, and ranks alternatives by this value.Open the card →
- TOPSIS extensionsBipolar fuzzy TOPSISThis is the form of TOPSIS for situations where each cell records, separately, a judgement's effect in the desired direction and its effect in the opposite direction. The two effects are reduced to a single score in the very first step, and the rest of the calculation follows the same path as crisp TOPSIS.Open the card →
- TOPSIS extensionsm-Polar Hesitant TOPSISThis is the form of TOPSIS for situations where a criterion is assessed from several independent viewpoints (poles), and each viewpoint is itself hesitant, carrying more than one plausible value.Open the card →
- TOPSIS extensionsm-Polar Linguistic TOPSISThis is the form of TOPSIS for situations where a linguistic term is assessed from several independent viewpoints (poles) and built as a group decision from several decision-makers' shared opinion.Open the card →
- VIKOR extensionsBipolar fuzzy VIKORThis is the form of VIKOR for situations where each cell records, separately, a judgement's effect in the desired direction and its effect in the opposite direction. The two effects are reduced to a single score in the very first step, and the rest of the calculation follows the same path as crisp VIKOR.Open the card →
- EDAS extensionsBipolar fuzzy EDASThis is the form of EDAS for situations where each cell records, separately, a judgement's effect in the desired direction and its effect in the opposite direction. Experts' judgements are combined with a bipolar fuzzy average, and alternatives are ranked by their distance from this average.Open the card →
- COPRAS extensionsBipolar fuzzy COPRASThis is the form of COPRAS for situations where each cell records, separately, a judgement's effect in the desired direction and its effect in the opposite direction. The two effects are reduced to a single score in the very first step, and the rest of the calculation follows the same path as crisp COPRAS.Open the card →
- MARCOS extensionsBipolar fuzzy MARCOSThis is the form of MARCOS for situations where each cell records, separately, a judgement's effect in the desired direction and its effect in the opposite direction. The two effects are reduced to a single score in the very first step, and the rest of the calculation follows the same path as crisp MARCOS.Open the card →
- PROMETHEE extensionsm-Polar Fuzzy PROMETHEEThis is the form of PROMETHEE for situations where every cell is rated separately from several independent viewpoints. Every cell is first reduced to a single score, and the pairwise comparison and net-flow calculation then proceed on these scores exactly as in crisp PROMETHEE.Open the card →
- WASPAS extensionsBipolar Fuzzy WASPASThis is the form of WASPAS for situations where each cell records, separately, a judgement's effect in the desired direction and its effect in the opposite direction. The two poles are carried through with their own arithmetic from the first step, the sum and product components are built with this arithmetic, and only at the end does the result descend to a single score.Open the card →
- ELECTRE extensionsm-Polar Fuzzy ELECTRE IThis is the ELECTRE I member of the ELECTRE family for situations where every cell is rated separately from more than one independent viewpoint. Its output is not a ranking but the core set of alternatives that no other alternative outranks.Open the card →
- ELECTRE extensionsm-Polar Fuzzy ELECTRE IVThis is the member of the ELECTRE family that both assigns no weight to criteria at all and rates every cell from several independent viewpoints. Its output is not a complete ranking but a partial pre-order emerging from a two-way distillation.Open the card →
- ELECTRE II extensionsm-Polar Fuzzy ELECTRE IIThis is the form of ELECTRE II for situations where performance scores are rated separately from several independent viewpoints. The viewpoints are preserved without being reduced to an average, and the output remains a complete ranking.Open the card →
- ELECTRE III extensionsm-Polar Fuzzy ELECTRE IIIThis is the form of ELECTRE III for situations where criteria are rated separately from several independent viewpoints. It derives weights from the data itself, and delivers the result as a single, clean outranking order that leaves no pair incomparable.Open the card →
Other methods in the library
These methods do not yet have an academy card. Their formulae, steps and source citation live in the library; each link opens the method page directly.
No method without a card remains for this type.