Multiple Attribute Decision Making With Interval-Valued Bipolar Fuzzy Information and Their Application to Emerging Technology Commercialization Evaluation | Zendy

Guiwu Wei | Zendy; Cun Wei | Zendy; Hui Gao | Zendy

Open Access

Multiple Attribute Decision Making With Interval-Valued Bipolar Fuzzy Information and Their Application to Emerging Technology Commercialization Evaluation

Author(s) -

Guiwu Wei,

Cun Wei,

Hui Gao

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2875261

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

In this paper, we investigate the multiple attribute decision making (MADM) problems with interval-valued bipolar fuzzy sets (IVBFSs). First, the concept, operational laws, score function, and accuracy function of IVBFSs are defined. Then, based on the operational laws, some interval-valued bipolar fuzzy Hamacher aggregation operators are developed for aggregating the interval-valued bipolar fuzzy information. A series of characteristics of aggregation operators is studied. Then, based on these proposed operators, we develop an interval-valued bipolar fuzzy method to solve an uncertainty MADM problem. Finally, an illustrative example for evaluating the emerging technology commercialization is given to verify the developed approach and to demonstrate its practicality and effectiveness.

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