T-norm Based Aggregation
T-Norm Based Aggregation is an aggregation operator that belongs to the class of fuzzy logic-based combination functions and is specifically characterized by its adherence to the mathematical properties of a t-norm, namely commutativity, associativity, monotonicity, and the unity condition, enabling the systematic fusion of membership degrees or truth values in a logically consistent manner.
294
Publications
17.2K
Citations
501
Authors
271
Institutions
Publications per year
2017–2026
164
Variants
T-norm Aggregation
Parents
294
A Survey on Fuzzy Implication Functions
M. Mas, M. Monserrat, Joan Torrens et al. · IEEE Transactions on Fuzzy Systems · 2007 · 386 citations
Theory of T-norms and fuzzy inference methods
Madan M. Gupta, Jiawei Qi · Fuzzy Sets and Systems · 1991 · 368 citations
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Riphah International University
Rawalpindi, Pakistan
22 h-index
65 publications
2.8K citations

Thapar Institute of Engineering & Technology
Patiāla, India
20 h-index
32 publications
3.1K citations

International Islamic University, Islamabad
Islamabad, Pakistan
17 h-index
50 publications
2.1K citations

Slovak University of Technology in Bratislava
Bratislava, Slovakia
12 h-index
19 publications
1.2K citations

University of the Punjab
Lahore, Pakistan
11 h-index
20 publications
1.2K citations
Abdul Wali Khan University Mardan
Mardan, Pakistan
10 h-index
22 publications
1.6K citations

Iona College
New Rochelle, United States
9 h-index
9 publications
1.4K citations

Central South University
Changsha, China
8 h-index
20 publications
998 citations
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25 publications · 1.8K citations
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18 publications · 1.5K citations
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17 publications · 617 citations
15
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13 publications · 806 citations
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13 publications · 550 citations
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