An extended TOPSIS for determining weights of decision makers with interval numbers
By Zhongliang Yue. Knowledge-Based Systems, 2011
347 citations recorded by the source corpus.
Subfields: Industrial and Manufacturing Engineering, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/e2efb8326504f34c07d0fefde07180c49d150267
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Industrial and Manufacturing Engineering
- Peide Liu
- Fang Jin
- Yong Deng
- Zeshui Xu
- Xiaolu Zhang
- Joshua Ignatius
- S. Khanmohammadi Otaghsara
- Morteza Yazdani
In Management Science and Operations Research
In Statistics and Probability
- Peide Liu
- Xiaolu Zhang
- Fang Jin
- Yong Deng
- Zeshui Xu
- Joshua Ignatius
- S. Khanmohammadi Otaghsara
- Morteza Yazdani
Citations in the corpus
- A novel hybrid MCDM model combining the SAW, TOPSIS and GRA methods based on experimental design (2016, methodology): “The TOPSIS method introduces two ‘‘reference” points: a positive ideal solution and a negative ideal solution [52].”
- Hesitant fuzzy multi-attribute decision making based on TOPSIS with incomplete weight information (2013, methodology): “Many methods for MADM, such as the TOPSIS method [16] [17] [18], the maximizing deviation method [19] [20] [21], the gray relational analysis method [22], the VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) method [23] [24] [25], the PROMETHEE (Preference Ranking Organisation METHod…”
- A state-of the-art survey of TOPSIS applications (2012, methodology): “Yue (2011) developed a method to determine decision makers' weights under a group decision environment described in an air quality assessment in Guangzhou during 16th Asian Olympic.”
- Methods for aggregating intuitionistic uncertain linguistic variables and their application to group decision making (2012, methodology): “Many ranking methods of MADM, such as the TOPSIS method [14,17,40,51], the grey relational analysis method [23,43], the VIKOR method [19,25– 27], the PROMETHEE method [6,24], and the ELECTRE method [21,29,30], have been extended to fit different attribute types, such as interval numbers, triangular ”
- A Threat Assessment Model under Uncertain Environment (2015, background): “Recently, it has been suggested to use interval numbers to represent the uncertainty or probability resulting from instinct of the incomplete knowledge or cognition [44–46].”