Kraft concentrates his efforts within the fields of Computer Science; Information Retrieval; as well as Research in Applying Artificial Intelligence Methods such as Fuzzy Set Theory, Rough Sets, and Genetic Algorithms to Modeling Text Information Retrieval Systems.
What does FST stand for?
FST stands for Fuzzy Set Theory
This definition appears frequently and is found in the following Acronym Finder categories:
- Science, medicine, engineering, etc.
See other definitions of FST
We have 181 other meanings of FST in our Acronym Attic
- French Summer Time (time zone)
- Frontline Support Team
- Fujitsu Software Technologies (Japan)
- Full Scale Test
- Functional Self Test (hardware or software test sequence)
- Functional System Test
- Functions, Statistics & Trigonometry (mathematics)
- Functions, Statistics, and Trigonometry (course)
- Future Science Teachers (University of California, Davis)
- Future Soldier Training (US Army)
- Fleet Synthetic Training-Joint Exercise (military air operations)
- Family Studies Teachers Association (Nova Scotia, Canada)
- Fantasy Sports Trade Association
- Fellow of the Society of Technical Analysts (UK)
- Florida Septic Tank Association (now Florida Onsite Wastewater Association)
- Food Science and Technology Abstracts (International Food Information Service)
- Force Structuring Trade-off Analysis
- Full Science and Technology Abstracts
- Future Strategic Tanker Aircraft
- Fuzzy Set Theory and Applications
Samples in periodicals archive:
The fuzzy set theory is used to represent the linguistic evaluations of decision makers (DMs).
Fuzzy Set Theory and its Applications, Kluwer Academic Publishers, Boston, third edition, 435 p.
In applications of fuzzy set theory, the field of engineering has undoubtedly been a leader.
Fuzzy set theory makes it possible to interpret inexact medical considerations as fuzzy sets, thus creating a method of "translating" intuitive, to a certain extent, reasonings of a physician into formal mathematically grounded conclusions.
Introduction Fuzzy Logic and Generalization With the introduction of Fuzzy Set Theory by Zadeh (1965) and its revolutionary concept that, due to inherent vagueness in defining classes of objects, an entity can be assigned partial or multiple memberships to one or several classes, there has been much discussion in recent years about the prospects of fuzzy logic for various GIS applications (Fisher 1992; Ahlqvist et al.
Therefore, this study intends to apply fuzzy set theory and introduce an alternative approach for assisting real estate developers in assessing their competitiveness through establishing a fuzzy synthetic rating model.
Lofti Zadeh introduced fuzzy set theory in 1965 with an aim of mathematically representing uncertainty and vagueness with formalized logical tools for dealing with the imprecision inherent in many real world problems.