Some Hamacher Aggregation Operators Based on the Interval-Valued Intuitionistic Fuzzy Numbers and Their Application to Group Decision Making

By Peide Liu. IEEE transactions on fuzzy systems, 2014

386 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/2832cb1e2f0b10c4cb5e15270febef85d1ec78c0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Raj Mishra Arunodaya
2. Peng Wang
3. Yumei Wang
4. Peide Liu

In Management Science and Operations Research

1. Raj Mishra Arunodaya
2. Peng Wang
3. Yumei Wang
4. Peide Liu

In Statistics and Probability

1. Raj Mishra Arunodaya
2. Peng Wang
3. Yumei Wang
4. Peide Liu

Citations in the corpus

• A multicriteria decision-making method using aggregation operators for simplified neutrosophic sets (2014, neutral): “Therefore, many researchers have developed a variety of aggregation operators with assessment on [0, 1] [12–15, 20–22], proportional assessment on [1/9, 9] [2], and linguistic assessment [16, 17].”
• Some q‐Rung Orthopair Fuzzy Aggregation Operators and their Applications to Multiple‐Attribute Decision Making (2018, background): “Liu et al. 20,21 and Zhang et al. 22 studied the Hamacher aggregation operators and Frank aggregation operators, respectively, which are with a parameter, so these operators are more universal and flexible.”
• Multiple-Attribute Decision-Making Based on Archimedean Bonferroni Operators of q-Rung Orthopair Fuzzy Numbers (2019, methodology): “Generally, the Archimedean T-norm and T-conorm (ATT) are the generalization of a lot of TNs and TCs; many operational rules based on the special cases of ATT were developed, such as Einstein operational rules [24], Hamacher operational rules [22], Frank operational rules [46], Dombi operational rule”
• Intuitionistic Fuzzy Information Measures with Application in Rating of Township Development (2016, methodology): “MCDM problems based on IFS utilizing information measure weights and linear programming were given by [15, 25, 26, 28, 48].”
• Multiple attribute decision-making method based on single-valued neutrosophic normalized weighted Bonferroni mean (2014, background): “Zadeh [23] firstly proposed the fuzzy set (FS) theory which is a good analysis tool to deal with fuzzy information; then, a lot of research achievements on FS have been made [4, 6, 8, 17].”
• A novel accuracy function under interval-valued Pythagorean fuzzy environment for solving multicriteria decision making problem (2016, neutral): “Under this environment, various researchers pay more attention on IFSs for aggregating the different alternatives using different aggregation operators [5–14].”