In an earlier work, presented two methods for the application of fuzzy sets in students' answerscripts evaluation. In this paper, we extend his work to propose two new methods for evaluating students' answerscripts using fuzzy sets. The proposed methods can overcome the drawbacks in Biswas (1995) d
A curve smoothing method by using fuzzy sets
β Scribed by Byung Soo Moon
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 314 KB
- Volume
- 96
- Category
- Article
- ISSN
- 0165-0114
No coin nor oath required. For personal study only.
β¦ Synopsis
For a set of points {(t,, x,)ln = 1, 2, 3, ... } in the plane, a fuzzy set which is the Cartesian product of a B-spline B,(t) and a triangular function T~(x) is assigned to each of the points. Another fuzzy set B,(t) x I(x), where l(x) is the constant function with value 1 is used to form the intersection with each ofBj x Tk corresponding to (t j, x j). Then we take the union of the resulting fuzzy sets and apply the center of gravity method to obtain a smoothing algorithm. The results of applying this algorithm to a set of A/D converted data and a comparison with the ones by an optimal solution are presented. The natural generalization of this algorithm to arbitrary plane curves or higher-dimensional curves are discussed.
π SIMILAR VOLUMES
The nature of interference sources in signal processing is a key problem in many applied disciplines. These interferences are often modelled by random processes, although it has been shown that many models can be favourably modified when some of the uncertainty sources are treated as fuzzy experimen
The aim of the paper is to present an application of fuzzy sets in mathematics, namely, in the theory of ordered sets. An algorithm for the construction of P-fuzzy sets with distinct levels is given. In connection with this, every finite poset can be mapped, by an anti-isotone bijection, onto the po