A new approach for ranking of trapezoidal fuzzy numbers

By Saeid Abbasbandy, T. Hajjari. Computers and Mathematics with Applications, 2009

504 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/88e11b93446fbf657c3687593d0de6902eeebea2

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In Control and Systems Engineering

In Management Science and Operations Research

In Statistics and Probability

Citations in the corpus

Risk evaluation using a novel hybrid method based on FMEA, extended MULTIMOORA, and AHP methods under fuzzy environment (2018, methodology): “(2009b), (2) Abbasbandy and Hajjari (2009), (3) Abbasbandy and Hajjari (2009), (4) Cheng (1998), (5) Chu and Tsao (2002), (6) Deng et al.”
Methods for aggregating intuitionistic uncertain linguistic variables and their application to group decision making (2012, background): “Because the objects are fuzzy and uncertain, the attributes involved in decision problems are not always expressed as real numbers, and some are better suited to be denoted by fuzzy numbers, such as interval numbers [9,51,52], triangular fuzzy numbers [20], trapezoidal fuzzy numbers [1,50], linguist”
A new approach for ranking of intuitionistic fuzzy numbers using a centroid concept (2016, background): “Fuzzy numbers [1] are special kind of fuzzy sets which are of importance in solving fuzzy linear programming problems.”
Ordering Generalized Trapezoidal Fuzzy Numbers Using Orthocentre of Centroids (2012, background): “(1) where 1 0 ≤ < w is a constant, a, b, c, d are real numbers and [ ] [ ], , 0 , : ~ w b a f L A → [ ] [ ] w d c f R A , 0 , : ~ → are two strictly monotonic and continuous functions from R to the closed interval[ ] w , 0 .”
A Method for Ranking of Fuzzy Numbers Using New Weighted Distance (2011, methodology): “Recently, a new method based on "the left and the right spreads at some  -levels of trapezoidal fuzzy numbers" was introduced [2].”