Granularity research based on panweighted field of pansystems

Author:

Li Haixia,Lin He,Li Yongli,Wu Aiping

Abstract

PurposeIn order to study granularity, this paper aims to discuss how to construct granules from the view of panweighted field of pansystem.Design/methodology/approachBy changing the panweights of panweighted field – subdivision of panweights, increase/decrease of panweights and reallocating panweights, to construct proper granules is the approach taken.FindingsThis paper provides a new method of studying granularity. If the weights of panweighted field are subdivided, then the granularity diminishes; if the panweights of panweighted field are increased, then the corresponding granularity diminished. Contrarily, the decrease of panweights of panweighted field results in the corresponding granularity increased; by reallocating panweights, use different method to construct different granules, such as compatible class, neighbor operator, compatible core, s‐s core and so on.Research limitations/implicationsHow to reallocate panweights is the main limitation.Practical implicationsA very useful advice for studying granularity.Originality/valueThis paper combines the granularity with panweighted field of pansystem, and studies granularity from the view of panweighted field of pansystems.

Publisher

Emerald

Subject

Computer Science (miscellaneous),Social Sciences (miscellaneous),Theoretical Computer Science,Control and Systems Engineering,Engineering (miscellaneous)

Reference14 articles.

1. Cheng, J., Chen, W. and Song, J. (2004), “Compatible relation and compatible core”, The Transaction of Anhui University, Hefei.

2. Fang, S. (2000), Disperse Math, Press of Xi'an Electron Science and Technology University, Xi'an.

3. Guo, D. and Wu, X. (2000), “Pansystems‐784e: duality and relativity”, Advances in Systems Science and Applications, No. 1, pp. 13‐18.

4. Guo, D. and Wu, X. (2003), “Pansystems relativity: panorama and further investigations”, Kybernetes, Vol. 32 No. 3, pp. 289‐316.

5. Lin, T.Y. (1997), “Neighborhood system‐applications to qualitative fuzzy and rough sets”, in Wang, P.P. (Ed.), Advances in Machine Intelligence and Soft‐computing, Department of Electrical Engineering, Duke University, Durham, NC, pp. 132‐55.

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