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Pythagorean fuzzy Bonferroni mean operators with their application to supply chain management

2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2017
The intuitionistic fuzzy set which is characterized by a membership degree and a non-membership degree, is a very powerful and useful tool to cope with fuzziness and uncertainty. Recently, the Pythagorean fuzzy set which is an extension of the intuitionistic fuzzy set has been introduced.
Jun Wang 0050   +4 more
openaire   +1 more source

Multi-dimensional data aggregation utilizing extended partitioned Bonferroni mean Operator

2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2020
In this contribution, we develop the concept of an Extended Partitioned Bonferroni Mean $\left({{\mathcal{E}}{\mathcal{P}}{\mathcal{B}}{\mathcal{M}}}\right)$ operator, which is efficient enough to aggregate input vectors with a varying number of components integrated with some dependence pattern.
Debasmita Banerjee   +2 more
openaire   +2 more sources

Triangular fuzzy Bonferroni mean operators and their application to multiple attribute decision making

Journal of Intelligent & Fuzzy Systems, 2015
Abstract In this paper, we investigate the multiple attribute decision making (MADM) problems with triangular fuzzy information. Motivated by the ideal of Bonferroni mean, we develop the aggregation techniques called the triangular fuzzy Bonferroni mean (TFBM) operator for aggregating the triangular fuzzy information.
Wei-Qun Zhu   +3 more
openaire   +2 more sources

Interval-Valued Hesitant Fuzzy Geometric Bonferroni Mean Aggregation Operator

2016
Hesitant fuzzy set (HFS) is one of the most common used techniques for expressing the decision maker's subjective evaluation information. Interval-valued hesitant fuzzy set (IVHFS) is the extension of HFS and can reflect our intuition more objectively. In this paper we focus on the IVHF information aggregation methods based on Bonferroni mean (BM).
Xiao Rong He   +4 more
openaire   +2 more sources

Multicriteria decision‐making approach based on gray linguistic weighted Bonferroni mean operator

International Transactions in Operational Research, 2015
AbstractThe main purpose of this paper is to provide a multicriteria decision‐making (MCDM) approach that applies the gray linguistic Bonferroni mean (BM) operator to address the situations where the criterion values take the form of gray linguistic numbers (GLNs) and the criterion weights are known.
Zhang-peng Tian   +3 more
openaire   +3 more sources

Constructing interval-valued generalized partitioned Bonferroni mean operator with several extensions for MAGDM

Neural Computing and Applications, 2020
In group decision making, each expert’s background and the level of knowledge and ability differ, which makes the expert’s information inputs to the decision-making process heterogeneous. Such heterogeneity in the information can affect the outcome of the selection of the decision alternatives.
Debasmita Banerjee   +3 more
openaire   +1 more source

Some intuitionistic uncertain linguistic Bonferroni mean operators and their application to group decision making

Soft Computing, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Peide Liu, Xiaohong Zhang 0006
openaire   +3 more sources

Some intuitionistic linguistic dependent Bonferroni mean operators and application in group decision-making

Journal of Intelligent & Fuzzy Systems, 2017
The dependent ordered weighted averaging (DOWA) operator can relieve the influence of unfair data from the aggregated arguments, and Bonferroni mean (BM) operator can capture the interrelationship of the aggregated arguments. In order to making fully use of the advantages of these two types of operators, we combine the DOWA with the BM operator in ...
Peide Liu, Shuya Wang, Yanchang Chu
openaire   +1 more source

Novel neutrosophic Dombi Bonferroni mean operators with mobile cloud computing industry evaluation

Expert Systems, 2019
AbstractIn the age of mobile cloud computing, we are confronted by mobility, diversity of network access types, frequent network disconnection and poor reliability, and security with complex structures. Mobile cloud computing industry decision making is crucially important for countries or societies to enhance the effectiveness and validity of ...
Xindong Peng, Florentin Smarandache
openaire   +2 more sources

Geometric Bonferroni Mean Operators

International Journal of Intelligent Systems, 2016
Deqing Li, Wenyi Zeng, Junhong Li
openaire   +2 more sources

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