Abstract Complex fuzzy N-soft set (CFN-SS) is an important technique to manage awkward and unreliable information in realistic decision-making problems. CFN-SS a blend of two separate theories, called sets (N-SSs) complex (CFSs), which are the modified versions soft (SSs) (FSs) depict vague uncertain daily life In this manuscript, novel concept explored their fundamental laws discussed. contain...

This paper introduces the Euclidean, Hamming, and generalized distance measures for picture fuzzy soft sets discusses their properties. The numerical examples of decision-making pattern recognition are focused. We also develop a robust VIKOR method PFSSs. relative precise ideal values (PFVs), factors ranking indexes defined. Different algorithmic procedures based on PFVs, factor, weights propos...

For the formal expression of uncertain data, hesitant fuzzy set theory has established itself as a distinguished model because it broad use in multi-attribute decision-making problems. With incorporation features from N-soft sets, useful framework referred to sets acquired an even greater appeal. This integrates and associates environment with information regarding existence grades or star rati...

Different neural networks related to Fuzzy min-max (FMM) has been studied and amongst all, Enhanced Fuzzy min-max (EFMM) neural network is most recent. For classification of patterns a new Enhanced Fuzzy Min-Max (EFMM) algorithm has been studied. The aim of EFMM is to improve the performance and minimize the restrictions that are possessed by original fuzzy min-max (FMM) network. Three heuristi...

In this paper we introduce the Max-Min intuitionistic fuzzy matrix M (G) of an intuitionistic fuzzy graph. And the extreme energy of M (G) is defined. And also we give the explicit expression for the coefficients of the characteristic polynomial of M (G) . These concepts are illustrated with real time example. AMS Subject Classification: 03E72, 05C50

Fuzzy sets, rough sets, and later on IF sets became useful mathematical tools for solving various decision making problems and data mining problems. Molodtsov introduced another concept soft set theory as a general frame work for reasoning about vague concepts. Since most of the data collected are either linguistic variable or consist of vague concepts so IF set and soft set help a lot in data ...