Multiple-Attribute Decision Making Based on Interval-Valued Intuitionistic Fuzzy Generalized Weighted Heronian Mean
نویسندگان
چکیده
Due to the complexity and uncertainty of objective things, interval-valued intuitionistic fuzzy (I-VIF) numbers are often used describe attribute values in multiple-attribute decision making (MADM). Sometimes, there correlations between attributes. In order make decision-making result more reasonable, it is necessary take correlation factors into account. Therefore, study MADM based on attributes I-VIF environment has important theoretical practical significance. Thus, this paper, we propose new operators (AOs) for information that able reflect completeness information, relevance, risk preference makers (DMs). Firstly, some AOs including generalized Heronian mean (I-VIFGHM), weighted (I-VIFGWHM), three-parameter (I-VIFTPGWHM). The properties obtained operators, their idempotency, monotonicity, boundedness studied. Furthermore, an method I-VIFGWHM operator provided. Finally, example provided explain rationality feasibility proposed method.
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ژورنال
عنوان ژورنال: Information
سال: 2022
ISSN: ['2078-2489']
DOI: https://doi.org/10.3390/info13030138