Rough Set theory proposed by Z Pawlak is a great help for dealing with uncertain data and dominance based rough set is an extension to the classical rough set theory considering the preference order of the data. As because of the lot number of variables and high degree of uncertainty, the process of a grid's power monitoring and its system is quite complicated. In this paper, we have used dominance based rough set approach for investigation of electrical grid monitoring system, based upon which a grid operator will be able to take efficient and intelligent decisions. © 2013 IEEE.

Sanjiban Sekhar Roy

Department of Software Systems

School of Computer Science and Engineering

Vellore Campus

Viswanatham V.M

Rawat S.S.S

Shah H.

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Multicriteria decision examination for electrical power grid monitoring system

2013 7th International Conference on Intelligent Systems and Control (ISCO)

The role of wireless sensor networks (WSNs) is essential to the present scenario. Numerous independent sensors exist in a WSN that cover the entire terrain and have the task of inspecting a specific phenomenon. For this reason, the sensors must work with minimal constraints, such as least energy consumption and data memory. To achieve the objective, many techniques are applied, one of which is clustering, where nodes are congregated into clusters and a head node is elected. Suitable cluster head selection is crucial for improving the energy management of a sensor network. In this paper, a technique based on a dominance based rough set is introduced for cluster head selection on the basis of attributes that have the capacity to augment the sustainability and lifetime of the sensor network. This method is far superior to the probabilistic approach of cluster head selection in a WSN. © 2014 IEEE.

2014 International Conference on Reliability Optimization and Information Technology (ICROIT)

Multicriteria decision examination in wireless sensor networks

High-speed, accuracy, meticulousness and quick responses are the notion of the vital necessities for modern digital world. An efficient electronic circuit unswervingly affects the maneuver of the whole system. Different tools are required to unravel different types of engineering tribulations. Improving the efficiency, accuracy and low power consumption in an electronic circuit is always been a bottle neck problem. So the need of circuit miniaturization is always there. It saves a lot of time and power while switching of gates and reduces the wiring-crises. Therefore to trounce with this problem we have proposed an artificial intelligence (AI) based approach that makes use of Rough Set Theory for its implementation. Theory of rough set has been proposed by Z Pawlak in the year 1982. Rough set theory is a new mathematical tool which deals with uncertainty and vagueness. Decisions can be generated using rough set theory by reducing the unwanted and superfluous data. We have condensed the number of gates without upsetting the productivity of the given circuit. This paper proposes an approach using artificial intelligence technique with the help of rough set theory which basically lessens the number of gates in the circuit, based on decision rules. © 2013 IEEE.

Fulltext

2013 International Conference on Machine Intelligence and Research Advancement

Improving Circuit Miniaturization and Its Efficiency Using Rough Set Theory

Expert Systems with Applications

BP neural network with rough set for short term load forecasting

European Journal of Operational Research

Rough sets theory for multicriteria decision analysis

Lecture Notes in Computer Science New Directions in Rough Sets, Data Mining, and Granular-Soft Computing

Formal Rough Concept Analysis

International Journal of Computer & Information Sciences

Rough sets

Journal	Data powered by Typeset2013 7th International Conference on Intelligent Systems and Control (ISCO)
Publisher	Data powered by TypesetIEEE
Open Access	0