Ranking fuzzy numbers with an area between the centroid point and original point
By T. Chu, Chung-Tsen Tsao. 2002
576 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/893a81a9ae956291a30716754a6e3ae0d52c5b5a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Jianbo Yang
- Dongling Xu
- Kwai-Sang Chin
- Shyi-Ming Chen
- Reza Fattahi
- Shi-Jay Chen
- Mohammad Khalilzadeh
- Hadi Basirzadeh
In Management Science and Operations Research
- Dongling Xu
- Jianbo Yang
- Kwai-Sang Chin
- Yingming Wang
- Shyi-Ming Chen
- Reza Fattahi
- Shi-Jay Chen
- Mohammad Khalilzadeh
In Statistics and Probability
- Jianbo Yang
- Dongling Xu
- Shyi-Ming Chen
- Yingming Wang
- Kwai-Sang Chin
- Reza Fattahi
- Shi-Jay Chen
- Mohammad Khalilzadeh
Citations in the corpus
- On the centroids of fuzzy numbers (2006, methodology): “Keywords: Normal fuzzy numbers; Non-normal fuzzy numbers; Centroid; Ranking 1.”
- An Approach for Solving Fuzzy Transportation Problem (2011, background): “Nagoor Gani and Abdul Rezak [1] obtained a fuzzy solution for a two stage cost minimizing fuzzy transportation problem in which supplies and demands are trapezoidal fuzzy numbers.”
- A ratio ranking method of triangular intuitionistic fuzzy numbers and its application to MADM problems (2010, background): “Fuzzy numbers are a special case of fuzzy sets and are of importance for fuzzy multiattribute decision making (MADM) problems [7–16].”
- Risk evaluation using a novel hybrid method based on FMEA, extended MULTIMOORA, and AHP methods under fuzzy environment (2018, methodology): “These methods are as follows: (1) Wang et al. (2009b), (2) Abbasbandy and Hajjari (2009), (3) Abbasbandy and Hajjari (2009), (4) Cheng (1998), (5) Chu and Tsao (2002), (6) Deng et al. (2006), (7) Cheng (1998), and (8) Nejad and Mashinchi (2011).”
- Fuzzy risk analysis based on the ranking of generalized trapezoidal fuzzy numbers (2007, methodology): “From [9, 13, 18] and [24], we can see that some centroidindex ranking methods have been proposed for ranking fuzzy”