718 research outputs found

    A Comprehensive study on (α,β)-multi-granulation bipolar fuzzy rough sets under bipolar fuzzy preference relation

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    The rough set (RS) and multi-granulation RS (MGRS) theories have been successfully extended to accommodate preference analysis by substituting the equivalence relation (ER) with the dominance relation (DR). On the other hand, the bipolar fuzzy sets (BFSs) are effective tools for handling bipolarity and fuzziness of the data. In this study, with the description of the background of risk decision-making problems in reality, we present (α,β) (\alpha, \beta) -optimistic multi-granulation bipolar fuzzified preference rough sets ((α,β)o (\alpha, \beta)^o -MG-BFPRSs) and (α,β) (\alpha, \beta) -pessimistic multi-granulation bipolar fuzzified preference rough sets ((α,β)p (\alpha, \beta)^p -MG-BFPRSs) using bipolar fuzzy preference relation (BFPR). Subsequently, the relevant properties and results of both (α,β)o (\alpha, \beta)^o -MG-BFPRSs and (α,β)p (\alpha, \beta)^p -MG-BFPRSs are investigated in detail. At the same time, a relationship among the (α,β) (\alpha, \beta) -BFPRSs, (α,β)o (\alpha, \beta)^o -MG-BFPRSs and (α,β)p (\alpha, \beta)^p -MG-BFPRSs is given

    Modeling of Social Transitions Using Intelligent Systems

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    In this study, we reproduce two new hybrid intelligent systems, involve three prominent intelligent computing and approximate reasoning methods: Self Organizing feature Map (SOM), Neruo-Fuzzy Inference System and Rough Set Theory (RST),called SONFIS and SORST. We show how our algorithms can be construed as a linkage of government-society interactions, where government catches various states of behaviors: solid (absolute) or flexible. So, transition of society, by changing of connectivity parameters (noise) from order to disorder is inferred

    Information Flow Model for Commercial Security

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    Information flow in Discretionary Access Control (DAC) is a well-known difficult problem. This paper formalizes the fundamental concepts and establishes a theory of information flow security. A DAC system is information flow secure (IFS), if any data never flows into the hands of owner’s enemies (explicitly denial access list.
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