4.6 Article

Pythagorean fuzzy MCDM method based on CoCoSo and CRITIC with score function for 5G industry evaluation

Journal

ARTIFICIAL INTELLIGENCE REVIEW
Volume 53, Issue 5, Pages 3813-3847

Publisher

SPRINGER
DOI: 10.1007/s10462-019-09780-x

Keywords

5G industry evaluation; Pythagorean fuzzy sets; Score function; CoCoSo; CRITIC

Funding

  1. National Natural Science Foundation of China [61462019, 61806213]
  2. MOE (Ministry of Education in China) Project of Humanities and Social Sciences [18YJCZH054]
  3. Natural Science Foundation of Guangdong Province [2018A030307033, 2018A0303130274]
  4. Social Science Foundation of Guangdong Province [GD18CFX06]
  5. Special Innovation Projects of Universities in Guangdong Province [KTSCX205]

Ask authors/readers for more resources

The 5G industry is of great concern to countries to formulate a major national strategy for 5G planning, promote industrial upgrading, and accelerate their economic and technological modernization. When considering the 5G industry evaluation, the basic issues involve strong uncertainty. Pythagorean fuzzy sets, depicted by membership degree and non-membership degree, are a more resultful means for capturing uncertainty. In this paper, the comparison issue in Pythagorean fuzzy environment is disposed by proposing novel score function. Next, the circle minus and circle divide operations are defined and their properties are proved. Later, the objective weight is calculated by Criteria Importance Through Inter-criteria Correlation method. Meanwhile, the combined weight is determined by reflecting both subjective weight and the objective weight. Then, the Pythagorean fuzzy decision making algorithm based Combined Compromise Solution is developed. Lastly, the validity of algorithm is expounded by the 5G evaluation issue, along with their sensitivity analysis. The main advantages of proposed algorithm are: (1) have no counterintuitive phenomena; (2) without division or antilogarithm by zero problem; (3) own stronger ability to distinguish alternatives.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available