This paper presents a fuzzy multi-objective linear programming approach to solve the energy allocation problem. For this, nine energy resources and six household end uses are considered. An optimal solution will be extracted, and an explicit interactive sensitivity analysis will be dealt with. As th
A Systematic Approach to Fuzzy Parsing
β Scribed by RAINER KOPPLER
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 239 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0038-0644
No coin nor oath required. For personal study only.
β¦ Synopsis
This paper presents a systematic approach to implementing fuzzy parsers. A fuzzy parser is a form of syntax analyzer that performs analysis on selected portions of its input rather than performing a detailed analysis of a complete source text. Fuzzy parsers are often components of software tools and also of program development environments that extract information from source texts. This paper clarifies the term 'fuzzy parser' and introduces an object-oriented framework for implementing reusable and efficient fuzzy parsers. Applications of this framework are described via examples of two software tools. These tools exploit the facilities provided by fuzzy parsers for different purposes, and also for different languages.
π SIMILAR VOLUMES
We present an approach to a Genetic Information Retrieval Agent Filter (GIRAF) for documents from the Internet using a genetic algorithm (GA) with fuzzy set genes to learn the user's information needs. The population of chromosomes with fixed length represents such user's preferences. Each chromosom
Between 1975 and 1980, 392 patients with a palpable mass or masses were referred for breast evaluation, including risk factor assessment, physical examination, and selective ultilization of aspiration cytology and mammography. Three-hundred and thirty-one (85%) were biopsied, with a benign diagnosis