1 - 8 of 8 articles
AbstractSoft set theory is a mathematical tool for dealing with uncertain. In this paper, the parameter reduction of soft sets is investigated by means of the attribute reduction in information systems and its algorithm is obtained. Moreover, an example is given by using this algorithm.
AbstractInformation granularity and hierarchical structures in granular computing are the two main aspects for investigating the uncertainty and structure of all types of granular spaces. This study presents a distance-based information granularity for IF and multi-granulation IF granular spaces...
AbstractThe linearity contained in the natural order of unit interval plays an important role in many concepts and applications of fuzzy theory. Besides, it is very important in concepts like ordered weighted aggregation operators (OWA) and fuzzy decision making. However, this linearity is not...
AbstractIn this paper, we focus on the parametric triple I algorithms by the combination of Schweizer–Sklar interval-valued operators and triple I principles for fuzzy reasoning. Firstly, we give the interval-valued triple I solutions based on Schweizer–Sklar interval-valued operators. Then, we...
AbstractCoupled coincidence and fixed point problems have been in the focus of the research interest for last few years. The problem was introduced in fuzzy metric spaces only very recently. In this paper, we work out a weak coupled coincidence point theorem for a compatible pair of mappings in...
AbstractAn approximation space is a key concept in rough set theory, which plays an important role to approximate reasoning about data. An interval-valued fuzzy (IVF, for short) approximation space is an approximation space in the IVF environment. In this paper, IVF rough approximation operators...
AbstractFuzzy graph coloring techniques are used to solve many complex real world problems. The chromatic number of complement of fuzzy graph is obtained and compared with the chromatic number of the corresponding fuzzy graph. The chromatic number of the resultant fuzzy graphs is studied,...
AbstractFuzzy number was introduced by Dubois and Prade  to handle imprecise numerical quantities. Later it was generalized to intuitionistic fuzzy number by Burillo et al. . Ranking intuitionistic fuzzy numbers plays an important role in decision making and information systems. All over...
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