Developing a Genetic Fuzzy System Model for Cost-Benefit Analysis.

Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2014, Vol 13, Issue 4

Abstract

Cost benefit analysis is a systematic approach for calculation and analyzing the cost of a project. Soft computing approaches are also applicable to deal with cost benefit analysis. In this paper Mamdani fuzzy system has been developed for cost benefit analysis. The genetic optimization of the model is carried out. The interpretability and accuracy features are also analyzed.

Authors and Affiliations

Saurabh Singh, Praveen Kumar Shukla, Rashmi Ranjan, Anurag Kumar

Keywords

Related Articles

Major Problems related to Information Management

Technological advancements in computing and communication technology have most recently grown rapidly. This growth has further been motivated by the high-speed networks and the declining cost of purchasing computers. The...

A Multi-Agent Classifier System based on Fuzzy-ARTMAP and Fuzzy Min-Max Neural Networks

In this paper, we propose a Multi-Agent Classifier (MAC) system based on the Trust, Negotiation, and Communication (TNC) model. A novel trust measurement method, based on the recognition and rejection rates, is proposed....

Robust Singular Value Decomposition Algorithm for Unique Faces

It has been read and also seen by physical encounters that there found to be seven near resembling humans by appearance .Many a times one becomes confused with respect to identification of  such near resembling faces wh...

Steganography: Securing Message in wireless network

Steganography is the process of hiding a secret message with in a cover medium. However eavesdropper may guess the embedding algorithm like least significant bit (LSB) replacement of Chan et al, 2004; Wang et al, 2001; W...

A NEW COMBINATION METHOD FOR ENCRYPTION OF MOVING OBJECTS DETECTION IN VIDEO

Nowadays surveillance systems have been widely deployed in various places and generate massive amount of video data every day. This raises threats of unauthorized access and potential privacy leakage as the recorded vide...

Download PDF file
  • EP ID EP650528
  • DOI 10.24297/ijct.v13i4.2857
  • Views 87
  • Downloads 0

How To Cite

Saurabh Singh, Praveen Kumar Shukla, Rashmi Ranjan, Anurag Kumar (2014). Developing a Genetic Fuzzy System Model for Cost-Benefit Analysis.. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 13(4), 4416-4421. https://europub.co.uk/articles/-A-650528