Interval basic uncertain information and related aggregations in decision making

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作   者：

Jin, LeSheng;  Mesiar, Radko;  Yager, Ronald;  Kaya, Sema Kayapinar; 

作者机构：

Slovak Univ Technol Bratislava;  Munzur Univ;  Nanjing Normal Univ;  Iona Coll; 

关键词：

Aggregation operators;  basic uncertain information;  interval basic uncertain information;  decision making;  FUZZY;  preference aggregation;  OPERATORS; 

期刊名称：

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

i s s n：

1064-1246

年卷期：

2022 年 42 卷 4 期

页   码：

3551-3558

页   码：

摘   要：

The recently proposed basic uncertain information can directly present numerical uncertainties for given real values, but it cannot handle given interval values which themselves also have uncertainties. Against this background, this work proposes the concept of interval basic uncertain information which serves as a generalization of basic uncertain information and involves two types of uncertainties. We analyze some basic operations, weighted arithmetic mean and preference transformation for interval basic uncertain information. The Rule-based decisions and the comprehensive certainty of interval basic uncertain information are also discussed. An illustrative example of multi-source multi-criteria evaluation under interval basic uncertain information environment is presented.