In this paper, we propose a new hybrid model calledN-soft rough sets, which can be seen as a combination of rough sets and N-soft sets. Moreover, approximation operators and some useful properties with respect to N-soft rough approximation space are introduced. Furthermore, we propose decision making procedures for N-soft rough sets, the approximation sets are utilized to handle problems involving multi-criteria decision-making(MCDM), aiming at electing the optional objects and the possible optional objects based on their attribute set. The algorithm addresses some limitations of the extended rough sets models in dealing with inconsistent decision problems. Finally, an application of N-soft rough sets in multi-criteria decision making is illustrated with a real life example.
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Nantong Univ, Sch Artificial Intelligence & Comp Sci, Nantong 226019, Peoples R ChinaNantong Univ, Sch Artificial Intelligence & Comp Sci, Nantong 226019, Peoples R China
Khan, Muhammad Jabir
Alcantud, Jose Carlos R.
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Univ Salamanca, BORDA Res Unit, Salamanca 37007, Spain
Univ Salamanca, Multidisciplinary Inst Enterprise IME, Salamanca 37007, SpainNantong Univ, Sch Artificial Intelligence & Comp Sci, Nantong 226019, Peoples R China
Alcantud, Jose Carlos R.
Akram, Muhammad
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Univ Punjab, Dept Math, Lahore 54590, PakistanNantong Univ, Sch Artificial Intelligence & Comp Sci, Nantong 226019, Peoples R China
Akram, Muhammad
Ding, Weiping
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Nantong Univ, Sch Artificial Intelligence & Comp Sci, Nantong 226019, Peoples R China
City Univ Macau, Fac Data Sci, Macau 999078, Peoples R ChinaNantong Univ, Sch Artificial Intelligence & Comp Sci, Nantong 226019, Peoples R China