TY - JOUR
T1 - Generalization and ranking of fuzzy numbers by relative preference relation
AU - Koppula, Kavitha
AU - Kedukodi, Babushri Srinivas
AU - Kuncham, Syam Prasad
N1 - Funding Information:
The authors thank the anonymous reviewers for their valuable comments and suggestions. All authors acknowledge the support and encouragement of Manipal Institute of Technology, Manipal Academy of Higher Education (MAHE), Manipal.
Publisher Copyright:
© 2021, The Author(s).
PY - 2022/2
Y1 - 2022/2
N2 - We define 2 n+ 1 and 2n fuzzy numbers, which generalize triangular and trapezoidal fuzzy numbers, respectively. Then, we extend the fuzzy preference relation and relative preference relation to rank 2 n+ 1 and 2n fuzzy numbers. When the data is representable in terms of 2 n+ 1 fuzzy number, we generalize the FMCDM (fuzzy multi-criteria decision making) model constructed with TOPSIS and relative preference relation. Lastly, we give an example from telecommunications to present the proposed FMCDM model and validate the results obtained.
AB - We define 2 n+ 1 and 2n fuzzy numbers, which generalize triangular and trapezoidal fuzzy numbers, respectively. Then, we extend the fuzzy preference relation and relative preference relation to rank 2 n+ 1 and 2n fuzzy numbers. When the data is representable in terms of 2 n+ 1 fuzzy number, we generalize the FMCDM (fuzzy multi-criteria decision making) model constructed with TOPSIS and relative preference relation. Lastly, we give an example from telecommunications to present the proposed FMCDM model and validate the results obtained.
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U2 - 10.1007/s00500-021-06616-1
DO - 10.1007/s00500-021-06616-1
M3 - Article
AN - SCOPUS:85121832237
SN - 1432-7643
VL - 26
SP - 1101
EP - 1122
JO - Soft Computing
JF - Soft Computing
IS - 3
ER -