Results 31 to 40 of about 196,804 (296)

Theoretical approaches of interval-valued fuzzy code and fuzzy soft code [PDF]

Journal of Fuzzy Extension and Applications
In this study, we attempted to demonstrate the interval-valued fuzzy code by extending the concept of an interval-valued fuzzy set. Further, we discussed the operations of the interval-valued fuzzy code. The interval-valued fuzzy soft code is introduced,
Masresha Woldie, Jejaw Mebrat, Mihret Taye   +2 more
doaj   +1 more source

Bipolar Intuitionistic Fuzzy Soft Ideals of BCK/BCI-Algebras and Its Applications in Decision-Making

Mathematics, 2023
In this paper, we merge the concepts of soft set theory and a bipolar intuitionistic fuzzy set. A bipolar intuitionistic fuzzy soft ideal in a BCK-algebra is defined as a soft set over the set of elements in the BCK-algebra, with each element associated ...
Manivannan Balamurugan, Nazek Alessa, Karuppusamy Loganathan, M. Sudheer Kumar   +3 more
doaj   +1 more source

Triangular fuzzy quadripartitioned neutrosophic set and its properties [PDF]

Neutrosophic Sets and Systems
The main objective of the paper is to hybridize the triangular fuzzy number and the quadripartitioned neutrosophic set and develop the triangular fuzzy quadripartitioned neutrosophic set.
Tanmoy Chatterjee, Surapati Pramanik
doaj   +1 more source

Power Improved Generalized Heronian Mean Operators Utilizing Hamacher Operations with Picture Fuzzy Information

Complexity, 2021
In multiple attribute decision-making (MADM), to better denote complicated preference information of decision-makers (DMs), picture fuzzy set (PFS) as an expansion of intuitionistic fuzzy set (IFS) has become a powerful tool in the recent years ...
Baolin Li, Lihua Yang
doaj   +1 more source

Generalised Interval-Valued Fuzzy Soft Set

Journal of Applied Mathematics, 2012
We introduce the concept of generalised interval-valued fuzzy soft set and its operations and study some of their properties. We give applications of this theory in solving a decision making problem.
Shawkat Alkhazaleh, Abdul Razak Salleh
doaj   +1 more source

On Triangular Multisets and Triangular Fuzzy Multisets

Mathematics, 2022
The basic set operations between fuzzy sets are defined using the min and max functions; however, later on, new operators were introduced that used other functions, which, nevertheless, had similar properties to functions min and max. The resulting fuzzy
Apostolos Syropoulos
doaj   +1 more source

Controlled Fuzzy Parallel Rewriting [PDF]

, 1996
We study a Lindenmayer-like parallel rewriting system to model the growth of filaments (arrays of cells) in which developmental errors may occur. In essence this model is the fuzzy analogue of the derivation-controlled iteration grammar.
Asveld, Peter R.J.
core   +4 more sources

(Quantum) Space-Time as a Statistical Geometry of Fuzzy Lumps and the Connection with Random Metric Spaces [PDF]

, 2000
We develop a kind of pregeometry consisting of a web of overlapping fuzzy lumps which interact with each other. The individual lumps are understood as certain closely entangled subgraphs (cliques) in a dynamically evolving network which, in a certain ...
Alexandroff P, Bandemer H B, Borissov R, Bronstein I N, Butterfield J, Butterfield J, Demant B, Frechet M, Hausdorff F, Isham C J, Isham C J, Isham C J, Isham C J, Isham C J, Isham C J, Isham C J, Lowen R, Markopoulou F, Markopoulou F, Menger K, Menger K, Menger K, Misner C W, Nowotny T, Nowotny T, Nowotny T, Nowotny T, Nowotny Th, Poincaré H, Requardt M, Requardt M, Requardt M, Requardt M, Requardt M, Requardt M, Rovelli C, Rovelli C, Roy S, Schweizer B, Schweizer B, Sherwood H, Smolin L, Smolin L, Sorkin R, Sorkin R, Spacek A, Stachel J, Stevens R R, Toffoli T, Wang Z   +49 more
core   +2 more sources

Using Fuzzy Linguistic Representations to Provide Explanatory Semantics for Data Warehouses [PDF]

, 2003
A data warehouse integrates large amounts of extracted and summarized data from multiple sources for direct querying and analysis. While it provides decision makers with easy access to such historical and aggregate data, the real meaning of the data has ...
Dillon, Tharam S., Feng, Ling
core   +3 more sources

General fuzzy min-max neural network for clustering and classification [PDF]

, 2000
This paper describes a general fuzzy min-max (GFMM) neural network which is a generalization and extension of the fuzzy min-max clustering and classification algorithms of Simpson (1992, 1993).
Bargiela, Andrzej, Gabrys, Bogdan
core   +1 more source