• Title/Summary/Keyword: measure of fuzziness

Search Result 33, Processing Time 0.027 seconds

On some properties of distance measures and fuzzy entropy

  • Lee, Sang-Hyuk;Kim, Sungshin
    • Proceedings of the Korean Institute of Intelligent Systems Conference
    • /
    • 2002.12a
    • /
    • pp.9-12
    • /
    • 2002
  • Representation and quantification of fuzziness are required for the uncertain system modelling and controller design. Conventional results show that entropy of fuzzy sets represent the fuzziness of fuzzy sets. In this literature, the relations of fuzzy enropy, distance measure and similarity measure are discussed, and distance measure is proposed. With the help of relations of fuzzy enropy, distance measure and similarity measure, fuzzy entropy is represented by the newly proposed distance measure. With simple fuzzy set, example is illustrated.

THE APPLICATION OF t-MEASURES OF FUZZINESS

  • Ban, A.I.;Fechete, I.
    • Journal of applied mathematics & informatics
    • /
    • v.5 no.1
    • /
    • pp.163-170
    • /
    • 1998
  • By introducing the t-measures of fuzziness we give a method for determination the degree of interference between the elements with different properties of a universe. Finally we apply this method in geography of population.

Feature extraction with distance measures and fuzzy entropy

  • Lee, Sang-Hyuk;Kim, Sung-Shin;Hyeon Bae;Kim, Youn-Tae
    • Proceedings of the Korean Institute of Intelligent Systems Conference
    • /
    • 2003.09a
    • /
    • pp.543-546
    • /
    • 2003
  • Representation and quantification of fuzziness are required for the uncertain system modelling and controller design. Conventional results show that entropy of fuzzy sets represent the fuzziness of fuzzy sets. In this literature, the relations of fuzzy enropy, distance measure and similarity measure are discussed, and distance measure is proposed. With the help of relations of fuzzy entropy, distance measure and similarity measure, fuzzy entropy is proposed by the distance measure. Finally, proposed entropy is applied to measure the fault signal of induction machine.

  • PDF

Assessment of Fuzzy Measure Possibility for the Electromagnetic Field according to Voltage fluctuation of the Jechon Area (제천지역 전압변동에 따른 전자계에 대한 퍼지척도 가능성 평가)

  • Kim, Sang-Chul
    • Journal of the Korean Society of Safety
    • /
    • v.20 no.2 s.70
    • /
    • pp.50-55
    • /
    • 2005
  • This Paper Presents assessment of fuzzy measure Possibility far the electromagnetic field according to voltage fluctuation of the Jechon Area. To cope with substantial electromagnetic analysis, the safety assessment were analyzed the double 154kV T/L, 345kV T/L, Jechon-Ichon Jechon-Youngju, respectively. As the results of case study, in case of 345kV T/L, the electric field value was 11.4927kV/m, magnetic field value was 0.4622G at the Point about 7m away from the line in severest case. Tn assessment of fuzzy measure Possibility for the electromagnetic field, this paper use probability of fuzzy and measure of fuzziness technique.

Assessment of Fuzzy Measure Possibility for the Electromagnetic Field of unbalanced two coupled Three-phase Transmission line Considering toad-Voltage Characteristics (부하의 전압특성을 고려한 3상 2회선 불평형 송전선로에서의 전자계에 대한 퍼지척도 가능성평가)

  • 송현선;김상철
    • Journal of the Korean Society of Safety
    • /
    • v.16 no.3
    • /
    • pp.45-52
    • /
    • 2001
  • This paper presents a study on the assessment of fuzzy measure possibility for the electromagnetic field of unbalanced system. It takes into account m untransposed transmission line and unbalanced load. A three phase load flow program was developed which employs a Newton-Raphson method as a tool to analyze system unbalanced. This research presents a method of handling two coupled three phase transmission system unbalance analysis and unbalanced power demand as a function of voltages. In assessment of fuzzy measure possibility for the electromagnetic field, this paper use probability of fuzzy and measure of fuzziness technique.

  • PDF

Evaluation of the Navigational Safety Level in the Korean Coastal Waterway using Fuzzy Integral (퍼지적분 모델을 이용한 연안해역의 항행 안전성 평가에 관한 연구)

  • 금종수;윤명오;장운재
    • Journal of the Korean Institute of Navigation
    • /
    • v.25 no.4
    • /
    • pp.381-391
    • /
    • 2001
  • Marine Casualties cause the loss of hmm lives, properties and marine pollution. The prevention of marine accidents has been a major topic in marine society and various policies and countermeasures have been developed, applied to the industries. The coastal VTS and navigational aids are considered as one of the effective methods to promote marine safety but they need relatively huge amount of budgets to build. Thus prior to establishing these coastal VTS and navigational aids, it should be evaluated the navigational safety level in the coastal waterways in concern. So far as human beings are concerned, there are many types of fuzziness in the evaluation of navigational safety level. In order to reflect these fuzziness on this evaluation, this paper introduces the fuzzy measure and integral to represent the fuzziness in the evaluation process. Therefore this paper aims to develop the method for this evaluation using the fuzzy measure and integral. In this paper, Korean coastal area is divided into 8 sectors and evaluated the priority for the needs of coastal VTS and navigational aids. The results are found as order as Mokpo, Yosu, Pohang, Busan, Inchon, Geoje, Gunsan, Donghae coastal area.

  • PDF

The Optimal Partition of Initial Input Space for Fuzzy Neural System : Measure of Fuzziness (퍼지뉴럴 시스템을 위한 초기 입력공간분할의 최적화 : Measure of Fuzziness)

  • Baek, Deok-Soo;Park, In-Kue
    • Journal of the Institute of Electronics Engineers of Korea TE
    • /
    • v.39 no.3
    • /
    • pp.97-104
    • /
    • 2002
  • In this paper we describe the method which optimizes the partition of the input space by means of measure of fuzziness for fuzzy neural network. It covers its generation of fuzzy rules for input sub space. It verifies the performance of the system depended on the various time interval of the input. This method divides the input space into several fuzzy regions and assigns a degree of each of the generated rules for the partitioned subspaces from the given data using the Shannon function and fuzzy entropy function generating the optimal knowledge base without the irrelevant rules. In this scheme the basic idea of the fuzzy neural network is to realize the fuzzy rule base and the process of reasoning by neural network and to make the corresponding parameters of the fuzzy control rules be adapted by the steepest descent algorithm. According to the input interval the proposed inference procedure proves that the fast convergence of root mean square error (RMSE) owes to the optimal partition of the input space

Entropy and information energy arithmetic operations for fuzzy numbers

  • Hong, Dug-Hun
    • Proceedings of the Korean Institute of Intelligent Systems Conference
    • /
    • 2002.12a
    • /
    • pp.1-4
    • /
    • 2002
  • There have been several tipical methods being used to measure the fuzziness (entropy) of fuzzy sets. Pedrycz is the original motivation of this paper. This paper studies the entropy variation on the fuzzy numbers with arithmetic operations(addition, subtraction, multiplication) and the relationship between entropy and information energy. It is shown that through the arithmetic operations, the entropy of the resultant fuzzy number has the arithmetic relation with the entropy of each original fuzzy number. Moreover, the information energy variation on the fuzzy numbers is also discussed. The results generalize earlier results of Pedrycz [FSS 64(1994) 21-30] and Wang and Chiu [FSS 103(1999) 443-455].

Assessment of Possibility on the Human Risk for the Electromagnetic Field of Unbalanced Two Coupled Three-phase Transmission Line Using Fuzzy Theory (퍼지이론을 이용한 3상 2회선 불평형 송전선로에서의 전자계에 대한 인체 위험 가능성평가)

  • Kim, Sang-Chul;Kim, Doo-Hyun
    • Journal of the Korean Society of Safety
    • /
    • v.21 no.2 s.74
    • /
    • pp.22-28
    • /
    • 2006
  • This paper presents assessment of possibility on the human risk for the electromagnetic field of unbalanced two coupled three-phase transmission line using fuzzy theory. Three phase load flow program was developed which employed a Newton-Raphson method as a tool to analyze system unbalanced. This research presents a method of handling two coupled three phase transmission system unbalance analysis and unbalanced power demand as a function of voltages. As the results of case study, in case of 345[kV] T/L, the electric field intensity was 10.9540[kV/m], magnetic field intensity was 0.2567[G] in severest case. The results showed that the membership of a proposition fuzzy '10.9540 [kV/m] is hazardous' is 0.6349. As the analytic results using the fuzzy qualifier term, the membership in case of very false is 0.1379 and fairly false is 0.6124, respectively. In assessment of fuzzy measure possibility for the electromagnetic field, this paper used probability of fuzzy arid measure of fuzziness technique.