Abstract
Parameter reduction has a significant role in making precision decisions. Several decisions making researches mine Boolean soft set with defined operations such as AND, OR, union and intersection to utilize their thinking in rough set theory for reducing parameters. Discovering false frequent sets in a soft set takes the right direction for parameter reduction. In this study, the false parameters of multi set are filtered for decision making based on decision partition order or the decision partition order can be configured predefined based on priority. The most important AND intersection results confirm the two sets relations that whether the extensions of original maps the original set characteristics. This contribution enhanced objects decision partition (Herawan et al. in Int J Database Theory Appl 3(2), 2010 [1]) from a multi set for constructing AND and OR filters with the help of decision partition order and then the decision partition order enhanced using user’s priority, and it shows better results in terms of objects reduction.
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Mohammed, M.A.T., Mohd, W.M.W., Arshah, R.A., Mungad, M., Sutoyo, E., Chiroma, H. (2019). Parameters Filtering in Soft Set Using AND and OR Operations. In: Abawajy, J., Othman, M., Ghazali, R., Deris, M., Mahdin, H., Herawan, T. (eds) Proceedings of the International Conference on Data Engineering 2015 (DaEng-2015) . Lecture Notes in Electrical Engineering, vol 520. Springer, Singapore. https://doi.org/10.1007/978-981-13-1799-6_24
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DOI: https://doi.org/10.1007/978-981-13-1799-6_24
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Online ISBN: 978-981-13-1799-6
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