Some Dombi aggregation of Q‐rung orthopair fuzzy numbers in multiple‐attribute decision making

The operations of t‐norm (TN) and t‐conorm (TCN), developed by Dombi, are generally known as Dombi operations, which have an advantage of flexibility within the working behavior of parameter. In this paper, we use Dombi operations to construct a few Q‐rung orthopair fuzzy Dombi aggregation operators...

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Veröffentlicht in:International journal of intelligent systems 2019-12, Vol.34 (12), p.3220-3240
Hauptverfasser: Jana, Chiranjibe, Muhiuddin, G., Pal, Madhumangal
Format: Artikel
Sprache:eng
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Zusammenfassung:The operations of t‐norm (TN) and t‐conorm (TCN), developed by Dombi, are generally known as Dombi operations, which have an advantage of flexibility within the working behavior of parameter. In this paper, we use Dombi operations to construct a few Q‐rung orthopair fuzzy Dombi aggregation operators: Q‐rung orthopair fuzzy Dombi weighted average operator, Q‐rung orthopair fuzzy Dombi order weighted average operator, Q‐rung orthopair fuzzy Dombi hybrid weighted average operator, Q‐rung orthopair fuzzy Dombi weighted geometric operator, Q‐rung orthopair fuzzy Dombi order weighted geometric operator, and Q‐rung orthopair fuzzy Dombi hybrid weighted geometric operator. The different features of these proposed operators are reviewed. At that point, we have used these operators to build up a model to solve the multiple‐attribute decision making issues under Q‐rung orthopair fuzzy environment. Ultimately, a realistic instance is stated to substantiate the created model and to exhibit its applicability and viability.
ISSN:0884-8173
1098-111X
DOI:10.1002/int.22191