Modern data-driven decision support systems: the role of computing with words and computational linguistics. (English) Zbl 1192.68228
Summary: We present how the conceptually and numerically simple concept of a fuzzy linguistic database summary can be a very powerful tool for gaining much insight into the very essence of data. The use of linguistic summaries provides tools for the verbalisation of data analysis (mining) results which, in addition to the more commonly used visualisation, e.g. via a graphical user interface, can contribute to an increased human consistency and ease of use, notably for supporting decision makers via the data-driven decision support system paradigm. Two new relevant aspects of the analysis are also outlined which were first initiated by the authors. First, following earlier work of the authors, it is further considered how linguistic data summarisation is closely related to some types of solutions used in natural language generation (NLG). This can make it possible to use more and more effective and efficient tools and techniques developed in NLG. Second, similar remarks are given on relations to systemic functional linguistics. Moreover, following Kacprzyk and Zadrożny, comments are given on an extremely relevant aspect of scalability of linguistic summarisation of data, using a new concept of a conceptual scalability.
MSC:
| 68P20 | Information storage and retrieval of data |
| 68T50 | Natural language processing |
| 68T37 | Reasoning under uncertainty in the context of artificial intelligence |
| 68P15 | Database theory |
| 68P05 | Data structures |
| 90B50 | Management decision making, including multiple objectives |
| 62P30 | Applications of statistics in engineering and industry; control charts |
Keywords:
decision making; decision support; data analysis; soft computing; natural language generation; scalabilityReferences:
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