مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

294
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

212
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

Several new results based on the study of distance measures of intuitionistic fuzzy sets

Pages

  147-163

Abstract

 It is doubtless that Intuitionistic fuzzy set (IFS) theory plays an increasingly important role in solving the problems under uncertain situation. As one of the most critical members in the theory, distance measure is widely used in many aspects. Nevertheless, it is a pity that part of the existing distance measures has some drawbacks in practical significance and accuracy. To make up for their drawbacks and pursue more accuracy and effectiveness, in this paper, we propose a new inclusion relation of IFSs and a new definition called strict distance measure. Based on this new relation, an analysis is given to point out that the common shortcoming of Hamming distance measure and Euclidean distance measure is the mishandling of hesitancy degree. Therefore, the role of hesitancy degree in distance measure is studied deeply and then three strict distance measures are put forward to overcome the above shortcoming. In addition, a novel definition called the characteristic function of distance measure is defined to describe the character of strict distance measure. On this basis, a theorem is presented to illustrate the inevitability of the occurrence of unrecognized result in pattern recognition problems in some special cases. This theorem also shows that the problem cannot be entirely attributed to distance measures. In view of this condition, we provide an appropriate solution. Compared with other existing distance measures in some examples, the superiorities of our improved distance measures are demonstrated to be more effective and more significant.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    CHEN, C., & DENG, X.. (2020). Several new results based on the study of distance measures of intuitionistic fuzzy sets. IRANIAN JOURNAL OF FUZZY SYSTEMS, 17(2 ), 147-163. SID. https://sid.ir/paper/375740/en

    Vancouver: Copy

    CHEN C., DENG X.. Several new results based on the study of distance measures of intuitionistic fuzzy sets. IRANIAN JOURNAL OF FUZZY SYSTEMS[Internet]. 2020;17(2 ):147-163. Available from: https://sid.ir/paper/375740/en

    IEEE: Copy

    C. CHEN, and X. DENG, “Several new results based on the study of distance measures of intuitionistic fuzzy sets,” IRANIAN JOURNAL OF FUZZY SYSTEMS, vol. 17, no. 2 , pp. 147–163, 2020, [Online]. Available: https://sid.ir/paper/375740/en

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top