Representation of features of items and user feedback, and reasoning about their relationships are major problems in recommender systems. This is because item features and user feedback are subjective, imprecise and vague. The paper presents a fuzzy set theoretic method (FTM) for recommender systems that handles the non-stochastic uncertainty induced from subjectivity, vagueness and imprecision...

Many database applications have the emerging need to support fuzzy queries that ask for strings that are similar to a given string, such as “name similar to smith” and “telephone number similar to 412-0964.” Query optimization needs the selectivity of such a fuzzy predicate, i.e., the fraction of records in the database that satisfy the condition. In this paper, we study the problem of estimati...

In the context of Chinese innovation-driven strategy, role suppliers has been attracting much attention. Since not every supplier can contribute to buyer’s innovation, scientifically selecting an innovative is highly valued by decision-makers from new energy vehicle (NEV) manufacturers. This paper focuses on proposing a novel decision framework in collaborative which helps NEV manufacturers sel...

This paper addresses a problem of global optimization in non-Archimedean fuzzy metric space context without P-property. Specifically, it concerns the determination distance between two subsets space. Our approach to solving this is find an optimal approximate solution fixed point equation. has been well studied within category problems called proximity problems. We explore some new types (ψ−ϕ)-...

The work described in this paper proposes a method for the measurement of similarity, viewed from the decision maker’s perspective. At first, an algorithm is presented that generalizes a discrete fuzzy set F, representing a model, given another discrete fuzzy set G representing new evidence. The algorithm proceeds by expressing the fuzzy sets as possibility distributions, and then by extending ...

Most group decision making (GDM) problems based on linguistic approaches use symmetrically and uniformly distributed linguistic term sets to express experts’ opinions. However, there exist problems whose assessments need to be represented by means of unbalanced linguistic term sets, i.e. using term sets that are not uniformly and symmetrically distributed. The aim of this paper is to present a ...

The assessment of aircraft noise is becoming an increasingly important task in ensuring sustainable airport development. Aircraft noise is influenced by many complex factors and traditional laboratory models are not sufficient to assess the exposure to noisy flights of specific local communities in proximity to an airport. In this paper neural network and fuzzy set methods have been integrated ...

A method to compute the transitive closure, a transitive opening and a transitive approximation of a reflexive and symmetric fuzzy relation is given. Other previous methods in literature compute just the transitive closure, some transitive approximations or some transitive openings. The proposed algorithm computes the three different similarities that approximate a proximity for the computation...

In design of ergonomic interface it is crucial to make the most of abstract representations to convey various aspects of the semantic content. We are developing interface based on joining users’ visual computing skills to the soft computing capability of fuzzy logic to model the proximity relationship of the document corpus onto 3D visual representations. The paper presents the main ideas behin...

Two ways to approximate a proximity relation R (i.e. a reflexive and symmetric fuzzy relation) by a T -transitive one where T is a continuous archimedean t-norm are given. The first one aggregates the transitive closure R of R with a (maximal) T -transitive relation B contained in R. The second one modifies the values of R or B to better fit them with the ones of R.