Results 91 to 100 of about 1,992,815 (204)

WEIGHTED NEUTROSOPHIC SOFT SETS APPROACH IN A MULTICRITERIA DECISION MAKING PROBLEM

Journal of New Theory, 2015
– The paramount importance of decision making problem in an imprecise environment is becoming very much significant in recent years. In this paper we have studied weighted neutrosophic soft sets which are a hybridization of neutrosophic sets with soft ...
Pabitra Kumar Maji
doaj  

NEUTROSOPHIC SOFT MULTI-ATTRIBUTE DECISION MAKING BASED ON GREY RELATIONAL PROJECTION METHOD [PDF]

Neutrosophic Sets and Systems, 2016
The present paper proposes neutrosophic soft multi-attribute decision making based on grey relational projection method. Neutrosophic soft sets is a combination of neutrosophic sets and soft sets and it is a new mathematical apparatus to deal with ...
Partha Pratim Dey , Surapati Pramanik, Bibhas C. Giri   +2 more
doaj  

Complex Neutrosophic Soft Matrices Framework: An Application in Signal Processing

Journal of Mathematics, 2021
In this paper, we introduce the concept of complex neutrosophic soft matrices. We define some basic operations including complement, union, and intersection on these matrices.
Madad Khan, Saima Anis, Kainat Bibi, Sohail Iqbal, Florentin Smarandache   +4 more
doaj   +1 more source

Complex Neutrosophic Soft Set

, 2017
In this paper, we propose the complex neutrosophic soft set model, which is a hybrid of complex fuzzy sets, neutrosophic sets and soft sets. The basic set theoretic operations and some concepts related to the structure of this model are introduced, and illustrated.
Said Broumi, Assia Bakali, Florentin Smarandache, Mohamed Talea, Mumtaz Ali, Ganeshsree Selvachandran   +5 more
openaire   +2 more sources

Complex‐Valued Fuzzy Topological Spaces: Theory and Seasonal Pattern Prediction

Journal of Mathematics, Volume 2026, Issue 1, 2026.
A new approach based on the concept of fuzzy spaces (F‐spaces) for the study of fuzzy topological spaces was developed by Dib in 1999. Extending that line of inquiry, a subset of the current authors previously investigated further topological notions, including boundary, exterior, isolated points and separation axioms, within Dib’s fuzzy‐space ...
Mohammad Hazaimeh, Ibrahim Jawarneh, Hasan Almutairi, Abd Ulazeez Alkouri, Smritijit Sen   +4 more
wiley   +1 more source

A new method of measuring similarity between two neutrosophic soft sets and its application in pattern recognition problems [PDF]

Neutrosophic Sets and Systems, 2015
Smarandache in 1995 introduced the concept of neutrosophic set and in 2013 Maji introduced the notion of neutrosophic soft set, which is a hybridization of neutrosophic set and soft set. After its introduction neutrosophic soft sets become most efficient
Anjan Mukherjee, Sadhan Sarkar
doaj  

On Fixed‐Point Results Involving Tower‐Type Fuzzy F‐Contractions in Triple Controlled Metric‐Like Spaces

Journal of Mathematics, Volume 2026, Issue 1, 2026.
In this work, we introduced two new classes of contractions in the framework of triple controlled metric‐like spaces, namely, tower‐type fuzzy F‐contractions and tower‐type rational fuzzy F‐contractions. On the basis of these contractive conditions, we derived several fuzzy fixed‐point results.
S. A. Alblowi, Samina Batul, Usman Shehzad, Dur-E-Shehwar Sagheer, Azhar Hussain, M. A. El Safty, Smritijit Sen   +6 more
wiley   +1 more source

An Approach to Similarity Measure between Neutrosophic Soft Sets [PDF]

Neutrosophic Sets and Systems, 2019
In this paper, we have defined different types of similarity measures between Neutrosophic Soft (NS) sets and studied some of their properties. Finally we have solve a real life problem by using similarity measure of neutrosophic soft sets.
Kalyan Sinha, Pinaki Majumdar
doaj   +1 more source

n-Valued refined neutrosophic soft set theory [PDF]

Journal of Intelligent & Fuzzy Systems, 2016
In this paper as a generalization of neutrosophic soft set we introduce the concept of n-valued refined neutrosophic soft set and study some of its properties. We also, define its basic operations, complement, union intersection, “AND” and “OR” and study their properties.
openaire   +2 more sources

Anomaly Detection in an Open Set Environment Using Reinforcement Learning

IET Information Security, Volume 2025, Issue 1, 2025.
In this research, we attempt to develop unknown anomaly detection models using a large‐scale unlabeled dataset and a limited number of partially labeled anomalies, addressing an important but mostly unsolved anomaly detection problem. This is a common situation in many important applications.
Dharani Kanta Roy, Hemanta Kumar Kalita, Jiwei Tian   +2 more
wiley   +1 more source