Focusing on soft-computing techniques to model the role of context in determining colours

2004 ◽  
Author(s):  
E.R. Denby
Keyword(s):  
Soft Computing ◽  
Soft Computing Techniques

EARLY QUALITATIVE SOFTWARE RELIABILITY PREDICTION AND RISK MANAGEMENT IN PROCESS CENTRIC DEVELOPMENT THROUGH A SOFT COMPUTING TECHNIQUE

2009 ◽  
Vol 16 (06) ◽  
pp. 521-532 ◽  
Author(s):  
K. KRISHNA MOHAN ◽  
A. K. VERMA ◽  
A. SRIVIDYA
Keyword(s):  
Risk Management ◽  
Soft Computing ◽  
Computing Technique ◽  
Fuzzy Membership Functions ◽  
Soft Computing Techniques ◽  
Management Schemes ◽  
Soft Computing Technique ◽  
Unified Process ◽  
Orthogonal Defect Classification

A unique take on strengthening the role of a prototype of a software system without actually realizing it, would be to arrive at predictions using historical information from similar PoCs or the permeating experience of those involved in projects of comparable nature. Abundance of soft computing techniques should make this crucial bypassing feasible. The purpose of the this work is to demonstrate the same. Validation of this approach could be obtained by comparing the results with the ones obtained on realized prototypes at module level. In a work of the first of its kind involving studies at the PoC level, qualititave predictions for the metric 'number of defects' are obtained using a generic Fuzzy Logic based modeling. A sound mathematical base for the calculation of slopes of various Fuzzy membership functions employed is explained in detail for the case studies considered. This framework is applicable to any of the process oriented developmental systems like rational unified process. Pivotal risk management schemes are put forward. Significance of orthogonal defect classification method is explained in the context of the case study considered earlier.

scholarly journals Role of soft computing techniques in predicting stock market direction

2012 ◽  
Vol 1 (2) ◽  
pp. 198
Author(s):  
Panchal Amitkumar Mansukhbhai ◽  
Dr. Jayeshkumar Madhubhai Patel
Keyword(s):  
Stock Market ◽  
Soft Computing ◽  
Financial Market ◽  
Input Data ◽  
Complex Problem ◽  
Data Series ◽  
Soft Computing Techniques ◽  
Day By Day ◽  
Selection Of

The stock market is a complex and dynamic system with noisy, non-stationary and chaotic data series. Prediction of a financial market is more challenging due to chaos and uncertainty of the system. Soft computing techniques are progressively gaining presence in the financial world. Compared to traditional techniques to predict the market direction, soft computing is gaining the advantage of accuracy and speed. However the input data selection is the major issue in soft computing. The aim of this paper is to explain the potential day by day research contribution of soft computing to solve complex problem such as stock market direction prediction. This study paper synthesizes five reference papers and explains how soft computing is gaining the popularity in the field of financial market. The selection of papers are based on various models wich are processing different input parameters for predicting the direction of stock market.

One-step models for soft computing techniques. Industrial application to image processing in quality assurance process

2015 ◽  
Vol 81 (5-8) ◽  
pp. 771-778 ◽  
Author(s):  
Pascual Noradino Montes Dorantes ◽  
Marco Aurelio Jiménez Gómez ◽  
Gerardo Maximiliano Méndez ◽  
Juan Pablo Nieto González ◽  
Jesús de la Rosa Elizondo
Keyword(s):  
Image Processing ◽  
Quality Assurance ◽  
Soft Computing ◽  
Industrial Application ◽  
Quality Assurance Process ◽  
Soft Computing Techniques ◽  
One Step ◽  
Assurance Process
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