z-logo
open-access-imgOpen Access
Identification of a Better Laptop with Conflicting Criteria Using TOPSIS
Author(s) -
Miranda Lakshmi T.,
Prasanna Venkatesan V.,
A. Martin
Publication year - 2015
Publication title -
international journal of information engineering and electronic business
Language(s) - English
Resource type - Journals
eISSN - 2074-9023
pISSN - 2074-9031
DOI - 10.5815/ijieeb.2015.06.05
Subject(s) - multiple criteria decision analysis , topsis , computer science , ranking (information retrieval) , laptop , sort , selection (genetic algorithm) , warranty , operations research , mathematics , machine learning , information retrieval , political science , law , operating system
Multi Criteria Decision Making (MCDM) methods are useful for evaluating several complex factors of multiple selection problems. The Multi-Objective problems are an extension of Single-Objective problems. The goal of MCDM is to help the decision maker to make a choice among a finite number of alternatives or to sort or rank a finite set of alternatives in terms of multiple criteria. Among the MCDM methods, the most widely applied method is TOPSIS. It is applied for different kinds of MCDM problems. In laptop selection process, it is difficult to select better laptop because relatively all laptops are seems to be same. By applying the TOPSIS method to the alternatives it is simple to differentiate the laptops from one another. The better laptop has been selected using TOPSIS based on conflicting criteria such as warranty, size, battery life, specification and others. This methodology also has been evaluated by MCDM evaluation metrics such as Time and Space Complexity, Sensitivity Analysis, ranking reversal and relative closeness coefficient.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom