International Journal of Computational Intelligence Systems

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Volume 12, Issue 2, 2019, Pages 580 - 596

A Novel Method Based on Fuzzy Tensor Technique for Interval-Valued Intuitionistic Fuzzy Decision-Making with High-Dimension Data

Authors
Shengyue Deng1, 2, Jianzhou Liu1, *, Jintao Tan2, Lixin Zhou1, 3
1Department of Mathematics and Computational Science, Xiangtan University, Xiangtan, Hunan 411105, China
2School of Science, Hunan University of Technology, Zhuzhou, Hunan 412008, China
3Faculty of Science, Guilin University of Aerospace Technology, Guilin, Guangxi 541004, China
*Corresponding author: Email: liujz@xtu.edu.cn
Corresponding Author
Shengyue Deng
Received 29 August 2018, Accepted 17 April 2019, Available Online 11 May 2019.
DOI
10.2991/ijcis.d.190424.001How to use a DOI?
Keywords
Fuzzy tensor; Interval-valued intuitionistic fuzzy tensor; Generalized interval-valued intuitionistic fuzzy weighted averaging (GIIFWA) operator; Generalized interval-valued intuitionistic fuzzy weighted geometric (GIIFWG) operator; Multiple attribute group decision-making; Dynamic multiple attribute group decision-making
Abstract

To solve the interval-valued intuitionistic fuzzy decision-making problems with high-dimension data, the fuzzy matrix is extended to the fuzzy tensor in this paper. Based on the constructed tensor definition, we propose the generalized interval-valued intuitionistic fuzzy weighted averaging (GIIFWA) and generalized interval-valued intuitionistic fuzzy weighted geometric (GIIFWG) operators. By exploring the properties of GIIFWA and GIIFWG operators, a new algorithm is presented to solve the interval-valued intuitionistic fuzzy multiple attribute group decision-making problem. Two typical application examples are also provided to demonstrate the efficiency and universal applicability of our proposed method.

Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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<Previous Article In Issue
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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
12 - 2
Pages
580 - 596
Publication Date
2019/05/11
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.d.190424.001How to use a DOI?
Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Shengyue Deng
AU  - Jianzhou Liu
AU  - Jintao Tan
AU  - Lixin Zhou
PY  - 2019
DA  - 2019/05/11
TI  - A Novel Method Based on Fuzzy Tensor Technique for Interval-Valued Intuitionistic Fuzzy Decision-Making with High-Dimension Data
JO  - International Journal of Computational Intelligence Systems
SP  - 580
EP  - 596
VL  - 12
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.190424.001
DO  - 10.2991/ijcis.d.190424.001
ID  - Deng2019
ER  -