Titlebook: Biologically Inspired Techniques in Many-Criteria Decision Making; International Confer Satchidananda Dehuri,Bhabani Shankar Prasad Mishra

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https://doi.org/10.1057/9780230508927ons FST is not capable to play crucial rule. In such situations Picture fuzzy set (PFS) come into the picture which is the direct extension of FST and Intuitionistic fuzzy set (IFS). Although different studies on FST and IFS have been done including their algebraic structure, however these studies a

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Multi-objective Biogeography-Based Optimization for Influence Maximization-Cost Minimization in Soci (called influence spread), is a key algorithmic problem in social influence analysis. In the past, a lot of studies were carried out to identify influential seeds from a given social graph and propagation model. Many propagation models, greedy algorithms, approximation algorithms came. However, a v

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Classification of Credit Dataset Using Improved Particle Swarm Optimization Tuned Radial Basis Funct economic, social, demographic, and other pertinent data provided by the customers and about the customers for building a more accurate and robust electronic finance system. The classification problem is one of the primary concerns in the process of analyzing the gamut of data; however, its complexi

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Classification of Real Time Noisy Fingerprint Images Using Flannase is collected in real time from ten different persons and the features are extracted of five different classes of fingerprints using Gabor Filter bank. The results prove that this method is robust enough to classify the fingerprints with a good accuracy. Here we have used Biogeography based optim

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Software Reliability Prediction with Ensemble Method and Virtual Data Point Incorporationn of software reliability is an important but critical job. Machine Learning (ML) techniques have been proven victorious in providing superior results than traditional techniques for software reliability prediction. Generally, ML models entail sufficient data for training to achieve improved general

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Hyperspectral Image Classification Using Stochastic Gradient Descent Based Support Vector Machine management, mineral exploration, agriculture, environmental monitoring and other tasks for earth observation. Earlier these images are very rarely available. But with recent appearance of Airborne Hyperspectral Imaging System, hyperspectral images entered into main stream of remote sensing. In this

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A Survey on Ant Colony Optimization for Solving Some of the Selected NP-Hard Problempularly used techniques in the field of meta-heuristic techniques that gave acceptable solutions to intractable problems like Travelling Salesperson (TS), Subset Selection (SS), Minimum Vertex Cover (MVC), and 0/1 Knapsack in tolerable amount of time. We have reviewed literature on the usage of afor