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Hydrogen Production Technologies Evaluation Based on Interval-Valued Intuitionistic Fuzzy Multiattribute Decision Making Method

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  • Dejian Yu

Abstract

We establish a decision making model for evaluating hydrogen production technologies in China, based on interval-valued intuitionistic fuzzy set theory. First of all, we propose a series of interaction interval-valued intuitionistic fuzzy aggregation operators comparing them with some widely used and cited aggregation operators. In particular, we focus on the key issue of the relationships between the proposed operators and existing operators for clear understanding of the motivation for proposing these interaction operators. This research then studies a group decision making method for determining the best hydrogen production technologies using interval-valued intuitionistic fuzzy approach. The research results of this paper are more scientific for two reasons. First, the interval-valued intuitionistic fuzzy approach applied in this paper is more suitable than other approaches regarding the expression of the decision maker’s preference information. Second, the results are obtained by the interaction between the membership degree interval and the nonmembership degree interval. Additionally, we apply this approach to evaluate the hydrogen production technologies in China and compare it with other methods.

Suggested Citation

  • Dejian Yu, 2014. "Hydrogen Production Technologies Evaluation Based on Interval-Valued Intuitionistic Fuzzy Multiattribute Decision Making Method," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-10, April.
  • Handle: RePEc:hin:jnljam:751249
    DOI: 10.1155/2014/751249
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    Cited by:

    1. Zhao, Jin & Patwary, Ataul Karim & Qayyum, Abdul & Alharthi, Majed & Bashir, Furrukh & Mohsin, Muhammad & Hanif, Imran & Abbas, Qaiser, 2022. "The determinants of renewable energy sources for the fueling of green and sustainable economy," Energy, Elsevier, vol. 238(PC).
    2. Fernando Castelló-Sirvent, 2022. "A Fuzzy-Set Qualitative Comparative Analysis of Publications on the Fuzzy Sets Theory," Mathematics, MDPI, vol. 10(8), pages 1-23, April.

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