In recent years, many websites have started providing keywordsearch services on maps. In these systems, users may experience difficulties finding the entities they are looking for if they do not know their exact spelling, such as the name of a restaurant. In this paper, we present a solution to support fuzzy keyword search on spatial data. We combine a spatial index structure with inverted inde...

Jie Lu, Fengjie Wu, Guangquan Zhang Faculty of Information Technology, University of Technology, Sydney, PO Box 123, Broadway, NSW 2007, Australia E-mail: [email protected] Abstract Many organizational decision problems can be formulated by multi-objective linear programming (MOLP) models. Referring to the imprecision inherent in human judgments, uncertainty may be incorporated in the paramet...

The goal of data mining is to find out interesting and meaningful patterns from large databases. In some real applications, many data are quantitative and linguistic. Fuzzy data mining was thus proposed to discover fuzzy knowledge from this kind of data. In the past, two mining algorithms based on the ant colony systems were proposed to find suitable membership functions for fuzzy association r...

This paper aims to solve the problem of multiple-objective linear optimization model subject to a system of inf-! composition fuzzy relation equations, where ! is R-, Sor QL-implications generated by continuous Archimedean t-norm (s-norm). Since the feasible domain of inf-! relation equations constraint is nonconvex, these traditional mathematical programming techniques may have difficulty in c...

In this paper attention has been paid to the study of multiobjective linear fractional programming problem (MOLFPP) by using fuzzy set theoretic approach. In this approach, MOLFPP is transformed into multiobjective linear programming problem (MOLPP) by suitable transformation. In algorithm-I, MOLFPP is transformed into MOLPP by using fuzzy set theory and the pareto optimal solution of the trans...

The last several lectures proved that polynomial-time exact recovery is possible for instances of several NP -hard problems that satisfy some type of stability condition. Lecture #7 showed that the single-link++ algorithm, which searches over a restricted set of feasible solutions, and thus can return a suboptimal solution in worst-case instances, recovers the optimal clustering in stable k-med...

In this article, we put forward the multi-objective matrix game model based on fuzzy payoffs. In order to solve the game model, we first discuss the relationship of two fuzzy numbers via the lower limit− 2 of the possibility degree. Then, utilizing this relationship, we conclude that the equilibrium solution of this game model and the optimal solution of multicriteria linear optimization proble...

In this paper, we introduce the concept of best proximal contraction theorems in non-Archimedean fuzzy metric space for two mappings and prove some proximal theorems. As a consequence, it provides the existence of an optimal approximate solution to some equations which contains no solution. The obtained results extend further the recently development proximal contractions in non-Archimedean fuz...