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Comprehensive Evaluation of Operations Management of a Hospital by TOPSIS and GRA

Chinese Medical Record English Edition, 2014
AbstractObjectives. To analyze the operations management of a public hospital using a combination of TOPSIS and GRA, and to provide appropriate assessment techniques for hospital operations management. Method. The index data of operations management were collected for the period from 2010 to 2013.
Nan Wang, Hui Yu, Aiwen Wu
exaly   +2 more sources

Fuzzy TOPSIS‐based computerized maintenance management system selection

Journal of Manufacturing Technology Management, 2012
PurposeThe purpose of this paper is to provide a structured methodology to permit the optimal selection of the best‐suited computerized maintenance management system (CMMS) software within maintenance information technologies.Design/methodology/approachThe analysis has been executed adopting a multi‐attribute decision‐making methodology, namely the ...
Omur Tosun
exaly   +2 more sources

Application of TOPSIS Method on Evaluating Campus Emergency Management Capacity

2013
TOPSIS is a method for multi-objective policy-decision, which can be applied in campus emergency management capacity evaluation. In this paper, principles and calculation procedures of TOPSIS method were introduced in detail and the TOPSIS method was applied in the campus emergency management capacity evaluation in HeBei universities.
Qu Ying
exaly   +2 more sources

Evaluation of Active Queue Management Methods based on Integrated AHP, TOPSIS and Fuzzy TOPSIS

Journal of Computing & Biomedical Informatics, 2022
The Evaluation and selection of Active Queue Management (AQM) methods are a complicated and challenging task. Improper AQM method can cause up-mark and network malfunctioning. To achieve satisfactory performance, various evaluation criteria need to be considered.
null Saima Anwar   +2 more
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Support managers’ selection using an extension of fuzzy TOPSIS

Expert Systems with Applications, 2011
Considering the contemporary business settings, managers' role is more than essential to the viability and further development of an organization. Managers should possess such skills in order to effectively cope with the competition. In this respect, selecting managers based on their skills can lead to a competitive advantage towards the achievement of
Alecos Michail Kelemenis   +2 more
openaire   +1 more source

Efficient Portfolio Management using TOPSIS and Ada-Boost

2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), 2020
The nature of the stock market is random and uncertain and therefore it is difficult to make accurate decisions in stock trading. With this paper we propose a model which can select stocks effectively in the US stock market by feature extraction from data provided by the Quantopian platform. Our approach consisted of 17 features of 4 different domains.
A. K. M. Amanat Ullah   +2 more
openaire   +1 more source

A DEA-TOPSIS method for multiple criteria decision analysis in emergency management [PDF]

open access: yesJournal of Systems Science and Systems Engineering, 2009
The final publication is available at www.springerlink.com(http://dx.doi.org/10.1007%2Fs11518-009-5120-3)A hybrid approach of DEA (data envelopment analysis) and TOPSIS (technique for order performance (preference) by similarity to ideal solution) is ...
Kevin W Li, Haiyan Xu, Sifeng Liu
exaly   +1 more source

Application of interval valued intuitionistic fuzzy TOPSIS for flood management

Journal of Intelligent & Fuzzy Systems, 2019
The technique for order preference by similarity to ideal solution (TOPSIS) has been applied to numerous multi-criteria decision making (MCDM) problems where crisp numbers are utilised in defining linguistic evaluation. The interval valued intuitionistic fuzzy TOPSIS (IVIF TOPSIS) can offer a new decision making method in solving MCDM problems where ...
Lazim Abdullah   +3 more
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Evaluation of Soil Management Practices for Agriculture using TOPSIS Method

Agricultural, Biologicals and Food Science, 2023
Agricultural soil science is a subfield of soil science that focuses on the production of food and fiber in relation to soil conditions. It encompasses research in the realm of edaphic conditions, making it an integral part of agricultural departments. Historically, it was considered a distinct branch of soil science, known as edaphology.
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