Representing and aggregating linguistic information based on semantic three-tuple
| Autor: | Ping-Ping Cao, Ming-Yang Li, Zhi-Ping Fan, Yun-Zhi Liu |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
021103 operations research
General Computer Science Computer science business.industry 0211 other engineering and technologies General Engineering 02 engineering and technology computer.software_genre Rule-based machine translation 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence Tuple business computer Natural language processing |
| Zdroj: | Computers & Industrial Engineering. 132:114-123 |
| ISSN: | 0360-8352 |
| DOI: | 10.1016/j.cie.2019.04.016 |
| Popis: | This paper analyzes the difference between the linguistic information and other forms of preference information, and finds that linguistic terms contain both definitive information and hesitant information. A new method for representing linguistic information is presented, namely the semantic three-tuple representation. In the method, to describe clearly the linguistic information, a three-tuple is used to represent the support degree, hesitation degree and opposition degree of linguistic information. In this paper, definitions and properties on semantic three-tuple are given, and three aggregation operators on semantic three-tuple are also given. Then, for the group decision-making problem with linguistic information, a method based on semantic three-tuple is presented. Finally, numerical examples are given to illustrate the applicability and effectiveness of the method proposed in this paper. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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