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国际不确定性的量化期刊

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ISSN 打印: 2152-5080

ISSN 在线: 2152-5099

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.7 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.9 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.5 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.0007 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.5 SJR: 0.584 SNIP: 0.676 CiteScore™:: 3 H-Index: 25

Indexed in

CHOQUET INTEGRAL-BASED INFORMATION AGGREGATION OPERATORS UNDER THE INTERVAL-VALUED INTUITIONISTIC FUZZY SET AND ITS APPLICATIONS TO DECISION-MAKING PROCESS

卷 7, 册 3, 2017, pp. 249-269
DOI: 10.1615/Int.J.UncertaintyQuantification.2017020076
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摘要

Traditional aggregation operators based on additive measures are invalid to aggregate the different alternatives under the set of criteria due to interdependent or interactive characteristics of the attributes. Thus, to approximate the human subjective decision-making process, it would be more suitable to enhance the fuzzy measure which will consider the dependency list of multiple decision-making criteria. This shortcoming has been overcome in the present manuscript by defining a new operational law and their corresponding interval-valued intuitionistic fuzzy interaction correlated averaging operator. Further, an extension of the TOPSIS method is developed by combining the proposed operator with Choquet-based Hamming distance. An illustrative example has been given for demonstrating the approach.

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