This paper addresses the problem of Near Duplicate document. Propose a new method to detect near duplicate document from a large collection of document set. This method is classified into three steps. Feature selection, similarity measures and discriminant function. Feature selection performs pre-processing; calculate the weight of each terms and heavily weighted term is selected as a features ...

We propose an extension of the resolution rule as the core of a logic programming language based on similarity. Starting from a fuzzy unification algorithm described in Ref. 2 and then extended in Ref. 10, we introduce a fuzzy resolution rule, based on an extended most general unifier supplied by the extended unification algorithm. In our approach, unification fades into a unification degree be...

We propose the use of logic-based preference representation languages based on weighted propositional formulas for specifying bids in a combinatorial auction. We then develop several heuristics for a branch-and-bound search algorithm for determining the winning bids in this framework and report on their empirical performance. The logic-based approach is attractive due to its high degree of flex...

A reliable and accurate similarity measurement between two software projects has always been a challenge for analogy-based software cost estimation. Since the effort for a new project is retrieved from similar historical projects, it is essentially to use the appropriate similarity measure that finds those close projects which in turn increases the estimation accuracy. In software engineering l...

The objective of the study is to present cosine similarity measure based multi-attribute decision making under neutrosophic environment. The assesments of alternatives over the attributes are expressed with trapezoidal fuzzy neutrosophic numbers in which the three independent components namely, truth-membership degree (T), indeterminacy-membership degree (I) and falsity-membership degree (F) ar...

We are given n data points x1, . . . , xn and some way to compute similarities between them, call si,j the similarity between the n points. Assume that the similarity function is symmetric, so si,j = sj,i. For the purposes of this lecture let us just consider the simplified clustering problem where we would like to split the dataset into two clusters. We would like to find a subset S ⊂ [n] of s...

In the fuzzy set theory, information  measures play a paramount role in several areas such as decision making, pattern recognition etc. In this paper, similarity measure based on cosine function and entropy measures based on logarithmic function for IFSs are proposed. Comparisons of proposed similarity and entropy measures with the existing ones are listed. Numerical results limpidly betoken th...