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Home / Journal of Computational and Theoretical Nanoscience, Volume 13, Number 10

An Approach to Multiple Attribute Decision Making with Triangular Intuitionistic Fuzzy Information

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Author: Chen, Jinping

Source: Journal of Computational and Theoretical Nanoscience, Volume 13, Number 10, October 2016, pp. 7285-7288(4)

Publisher: American Scientific Publishers

DOI: https://doi.org/10.1166/jctn.2016.5710

The aim of this paper is to investigate the multiple attribute decision making problems with triangular intuitionistic fuzzy information. Some operational laws of triangular intuitionistic fuzzy sets, score functions of triangular intuitionistic fuzzy sets are introduced. Based on these operational laws, some Einstein aggregation operators, including triangular intuitionistic fuzzy Einstein weighted averaging (TIFEWA) operator, triangular intuitionistic fuzzy Einstein ordered weighted averaging (TIFEOWA) operator and triangular intuitionistic fuzzy Einstein hybrid aggregation (TIFEHA) operator, are proposed. An approach to multiple attribute decision making with triangular intuitionistic fuzzy information is developed based on the TIFEWA operator. Finally, an illustrative example for evaluating the construction projects quality with triangular intuitionistic fuzzy information is given to verify the developed approach.

Keywords: Triangular Intuitionistic Fuzzy Einstein Hybrid Aggregation (TIFEHA) Operator; Triangular Intuitionistic Fuzzy Einstein Ordered Weighted Averaging (TIFEOWA) Operator; Triangular Intuitionistic Fuzzy Einstein Weighted Averaging (TIFEWA) Operator; Triangular Intuitionistic Fuzzy Sets

Document Type: Research Article

Affiliations: Institute of Architecture and Engineering, Hohhot Vocational College, 010010, Inner Mongolia, China

Publication date: 01 October 2016

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  • Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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