The current trend in the rapid growth of on-line image databases has brought forth several innovative approaches to content-based image retrieval. Most current techniques retrieve images based on an example image or object shapes/features extracted from images. Retrieval based on linguistic queries has not recieved much attention. In this paper, we present a fuzzy connective approach to handle ...

Metaset is a new concept of set with partial membership relation. It is designed to represent and process vague, imprecise data – similarly to fuzzy sets. Metasets are based on the classical set theory primitive notions. At the same time they are directed towards efficient computer implementations and applications. The degrees of membership for metasets are expressed as finite binary sequences,...

Mixed-membership network models permit a node in a graph to take on different latent roles in different interactions. However, while mixed-membership block models often do out-perform classical network models, the actual degree of mixed-membership in many graphs is small, with nodes usually taking on only a handful of many possible roles. We thus present a novel slightly mixed membership stocha...

Carrie Banks, Supervising Librarian, Inclusive Services at Brooklyn Public Library Eti Berland, Youth School Engagement Wilmette (IL) Ana-Elba Pavon, Semi-retired/On-Call San Francisco

This paper proposes a method for solving linear programming problems where all the coefficients are, in general, fuzzy numbers. We use a fuzzy ranking method to rank the fuzzy objective values and to deal with the inequality relation on constraints. It allows us to work with the concept of feasibility degree. The bigger the feasibility degree is, the worst the objective value will be. We offer ...

Neutrosophic sets are powerful logics designed to facilitate understanding of indeterminate and inconsistent information; many types of incomplete or complete information can be expressed as interval valued neutrosophic sets (IVNSs). This paper proposes improved aggregation operation rules for IVNSs, and extends the generalized weighted aggregation (GWA) operator to work congruently with IVNS d...

In this paper, we show a procedure for solving multilevel fractional programming problems in a large hierarchical decentralized organization using fuzzy goal programming approach. In the proposed method, the tolerance membership functions for the fuzzily described numerator and denominator part of the objective functions of all levels as well as the control vectors of the higher level decision ...