Results 171 to 180 of about 11,104 (208)
Some of the next articles are maybe not open access.
Fuzzy Graphs and Fuzzy Hypergraphs
2009Graph theory has numerous application to problems in systems analysis, operations research, economics, and transportation. However, in many cases, some aspects of a graph-theoretic problem may be uncertain. For example, the vehicle travel time or vehicle capacity on a road network may not be known exactly.
Leonid S. Bershtein +1 more
openaire +1 more source
1993
For representation of imprecise knowledge, conceptual graphs (CGs) are extended by introduction of fuzzy set theory into the components concepts and conceptual relations. The fuzzy operator , operations such as join, maximal join, projection are defined and basic inference rules established.
Vilas Wuwongse, Mario Manzano
openaire +1 more source
For representation of imprecise knowledge, conceptual graphs (CGs) are extended by introduction of fuzzy set theory into the components concepts and conceptual relations. The fuzzy operator , operations such as join, maximal join, projection are defined and basic inference rules established.
Vilas Wuwongse, Mario Manzano
openaire +1 more source
2017
In 1994, Zhang (Proceedings of FUZZ-IEEE, 1998) [195], (Proceedings of IEEE conference, 1994) [71] introduced the concept of bipolar fuzzy sets as a generalization of the notion of Zadeh’s fuzzy sets. A bipolar fuzzy subset of a set is a pair of functions one from the set into the interval [0, 1] and the other into the interval \([-1,0].\) In a bipolar
Sunil Mathew +2 more
openaire +1 more source
In 1994, Zhang (Proceedings of FUZZ-IEEE, 1998) [195], (Proceedings of IEEE conference, 1994) [71] introduced the concept of bipolar fuzzy sets as a generalization of the notion of Zadeh’s fuzzy sets. A bipolar fuzzy subset of a set is a pair of functions one from the set into the interval [0, 1] and the other into the interval \([-1,0].\) In a bipolar
Sunil Mathew +2 more
openaire +1 more source
Fuzzy Relations and Fuzzy Graphs
1985Fuzzy relations are fuzzy subsets of X × Y, that is, mappings from X → Y. They have been studied by a number of authors, in particular by Zadeh [1965, 1971], Kaufmann [1975], and Rosenfeld [1975]. Applications of fuzzy relations are widespread and important. We shall consider some of them and point to more possible uses at the end of this chapter.
openaire +1 more source
2018
We introduce the notion of the degree of incidence of a vertex and an edge in a fuzzy graph in fuzzy graph theory. We concentrate on incidence, where the edge is adjacent to the vertex. We determine results concerning bridges, cutvertices, cutpairs, fuzzy incidence paths, fuzzy incidence tree for fuzzy incidence graphs. In (Dinesh, Ph.D. thesis, Kannur
John N. Mordeson +2 more
openaire +1 more source
We introduce the notion of the degree of incidence of a vertex and an edge in a fuzzy graph in fuzzy graph theory. We concentrate on incidence, where the edge is adjacent to the vertex. We determine results concerning bridges, cutvertices, cutpairs, fuzzy incidence paths, fuzzy incidence tree for fuzzy incidence graphs. In (Dinesh, Ph.D. thesis, Kannur
John N. Mordeson +2 more
openaire +1 more source
Haplotype-resolved de novo assembly using phased assembly graphs with hifiasm
Nature Methods, 2021Haoyu Cheng +2 more
exaly
Foundation models for generalist medical artificial intelligence
Nature, 2023, Harlan M Krumholz, Jure Leskovec
exaly

