Enhancement of TOPSIS for Evaluating the Web-Sources to Select as External Source for Web-Warehousing

2018 ◽  
Vol 5 (1) ◽  
pp. 117-130
Author(s):  
Hariom Sharan Sinha
Keyword(s):  
Euclidean Distance ◽  
External Source ◽  
Main Concern ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Multiple Features ◽  
Order Preference ◽  
Topsis Approach ◽  
The Web ◽  
Selection Of

In this paper, the main concern is to evaluate the web-sources, which are to be selected as an external source for web-warehousing. In order to identify the web sources, they are evaluated on the basis of their multiple features. For it, Multi-Criteria Decision Making (MCDM) approach is used. In this paper, among all the MCDM approach, the focus is on “Technique for Order Preference by Similarity to Ideal Solution” (TOPSIS) approach and proposing an enhancement in this method. The traditional TOPSIS approach uses Euclidean Distance to measure the similarity. Here, Jeffrey Divergence has been proposed instead of Euclidean Distance to compute the similarity measure which includes asymmetric and symmetric distances during computation. Experimental analysis of both the variations of TOPSIS approach have been conducted and the result shows the enhancement in the selection of web sources.

Enhancement of “Technique for Order Preference by Similarity to Ideal Solution” Approach for Evaluating the Web Sources to Select as External Source for Web Warehousing

2017 ◽  
Vol 6 (1) ◽  
pp. 1-16
Author(s):  
Hari Om Sharan Sinha
Keyword(s):  
Euclidean Distance ◽  
External Source ◽  
Main Concern ◽  
Ideal Solution ◽  
Multiple Features ◽  
Solution Approach ◽  
External Data ◽  
Order Preference ◽  
Topsis Approach ◽  
The Web

The main concern of this paper is to evaluate the web sources, which are to be selected as external data sources for web warehousing. In order to identify the web sources, they are evaluated on the ground of their multiple features. For it, Multi Criteria Decision Making (MCDM) approach has been used. Here, among all the MCDM approach, the focus is on “Technique for Order Preference by Similarity to Ideal Solution” (TOPSIS) approach and proposing an enhancement in this method. The conventional TOPSIS approach uses Euclidean Distance to measure the similarity. Here, Jeffrey Divergence has been proposed to measure the similarity instead of Euclidean Distance which includes all the symmetric distances during computation. The Euclidean Distance only measures unidirectional distance whereas the Jeffrey Divergence includes multidirectional distances. Unidirectional distance includes only distance in one dimension but multidirectional distances includes differences, so more relevant in web sources evaluation. Experimental analysis for both the variations of TOPSIS approach have been conducted and the result shows the enhancement in the selection of web sources.

Selection of Materials Using Multi Criteria Decision Making Method by Considering Physical and Mechanical Properties of Jute/Al2O3 Composites

2014 ◽  
Vol 592-594 ◽  
pp. 729-733 ◽  
Author(s):  
Priyadarshi Tapas Ranjan Swain ◽  
Sandhyarani Biswas
Keyword(s):  
Decision Making ◽  
Hybrid Composites ◽  
Physical And Mechanical Properties ◽  
Distance Measures ◽  
Correct Result ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Order Preference ◽  
Mcdm Method ◽  
Selection Of

Multi-Criteria Decision Making (MCDM) method plays a key role to find out the best option from all possible alternatives. From different application areas Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is one of the Multi-Criteria Decision Making (MCDM) method to find out the correct result. TOPSIS is a real-world and valuable procedure for ranking and selection of a number of externally determined substitutes through distance measures. In this paper, application of techniques for order preference by similarity of an ideal solution (TOPSIS) method is applied for solving multiple criteria (objective) optimization problem in mechanical and physical properties of jute/Al2O3 fiber based hybrid composites. The best performance value of composite is designed from ideal solution and as well as the worst performance value of composite is designed for negative-ideal solution. The results have demonstrated the model to be both robust and efficient.

scholarly journals Comparative Study Of AHP And AHP-Topsis In Analyzing Supplier Priority (A Case Study Of Diesel Fuel Supplier At PT. X)

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Shelvy Kurniawan ◽  
Sambudi Hamali ◽  
Sandra Gunawan
Keyword(s):  
Diesel Fuel ◽  
Supplier Selection ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
West Kalimantan ◽  
Central Kalimantan ◽  
Order Preference ◽  
Topsis Technique ◽  
Selection Of

The selection of diesel fuel supplier at PT. X which were held in four operational areas, namely South Sumatra, Central Kalimantan, West Kalimantan, and East & North Kalimantan. The purpose is to determine the criterias, subcriterias and their importance weights in the selection of the best diesel fuel suppliers for each operational areas of PT. X. This study will compare the use of two well-known multi-criteria decision making methods namely AHP (Analytical Hierarcy Process) and AHP-TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). The criterias were tested are Quality, Price, Capability, Delivery, Supplier Profile, and Service & Relationship with the results of the highest weighted criteria is Delivery, then followed by the highest weighted subcriteria is Supply Capability. Keywords— AHP, TOPSIS, Supplier Selection, Best Supplier

scholarly journals Selection of vacuum cleaner with Technique for Order Preference by Similarity to Ideal Solution method based upon multi-criteriadecision-making theory

2020 ◽  
Vol 53 (3-4) ◽  
pp. 627-634
Author(s):  
Raman Kumar ◽  
Sunpreet Singh
Keyword(s):  
Decision Making ◽  
Solution Method ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Proof Of Concept ◽  
Vacuum Cleaner ◽  
First Choice ◽  
Order Preference ◽  
The Cost ◽  
Selection Of

This study focuses on multi-criteria decision-making theory to pick vacuum cleaner available in the Indian market. The choice of a vacuum cleaner for the customer is an intricate decision-making, the problem involving multiple conflicting criteria such as the cost of the vacuum cleaner, dust bag capacity, power consumption, and so on. The simple methodology based on the Technique for Order Preference by Similarity to Ideal Solution method is presented to choose a vacuum cleaner. Based on data collection, eight different companies/brands are considered with 26 diverse models. The ranks of the different alternatives obtained with Technique for Order Preference by Similarity to Ideal Solution method are presented. The result reveals that the alternative Karcher WD 3.200 comes out to be the first choice, followed by Karcher WD 4.200 and Eureka Forbes Sensi. This approach based upon multi-criteria decision-making is very beneficial for retailer and wholesalers to help consumers/customers for purchasing their product/item or the consumer itself can make use of this simple methodology. The established proof-of-concept could be further used in the different domains of engineering, science, and management, wherein the decision-making could be biased and vague.

Application of Technique for Order Preference by Similarity to Ideal Solution Multi-Criteria Decision-Making Method for Financial Performance Evaluation: A Case Study of Services Sector in Malaysia

2019 ◽  
Vol 16 (12) ◽  
pp. 4965-4969
Author(s):  
Norasyikin Abdullah Fahami ◽  
Farah Waheeda Azhar ◽  
Zati Halwani Abd Rahim ◽  
Hilwana Abd Karim ◽  
Zati Siti Khatijah Nor Abdul Rahim
Keyword(s):  
Decision Making ◽  
Financial Performance ◽  
Financial Ratios ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Return On Equity ◽  
Services Sector ◽  
Order Preference ◽  
Equity Ratio ◽  
Topsis Approach

This paper aims to evaluate financial performance of companies from services sector in Malaysia using TOPSIS multi-criteria decision-making method. Financial data of 10 companies in 2017 are retrieved from DataStream. For many years, financial ratios are used to analyse financial performance of a companies. However, some studies indicate that traditional ratio analysis is insufficient to measure firm’s financial performance. Thus, this paper applies Technique for order Preference by Similarity to ideal Solution (TOPSIS) to obtain a more comprehensive result. This TOPSIS approach which involves seven step utilizes financial ratios such as current ratio, acid test ratio, debt ratio, debt to equity ratio, return on asset (ROA), return on equity (ROE) and earnings per share (EPS) as criteria to evaluate the companies’ financial performance. The ultimate finding of this study is the ranking of the companies which also suggest the investor on which companies to invest based on their financial performance. The results from this research are found to be consistent with the analysis by various investment agencies. Thus, this approach can be used as an alternative to the traditional valuation that has been used before.

scholarly journals Supplier selection using different metric functions

2015 ◽  
Vol 25 (3) ◽  
pp. 413-423 ◽  
Author(s):  
S.E. Omosigho ◽  
Dickson Omorogbe
Keyword(s):  
Supplier Selection ◽  
Selection Process ◽  
Fuzzy Topsis ◽  
Ideal Solution ◽  
Order Preference ◽  
Metric Functions ◽  
Metric Function ◽  
Topsis Technique ◽  
Intuitionistic Fuzzy Topsis ◽  
Selection Of

Supplier selection is an important component of supply chain management in today?s global competitive environment. Hence, the evaluation and selection of suppliers have received considerable attention in the literature. Many attributes of suppliers, other than cost, are considered in the evaluation and selection process. Therefore, the process of evaluation and selection of suppliers is a multi-criteria decision making process. The methodology adopted to solve the supplier selection problem is intuitionistic fuzzy TOPSIS (Technique for Order Preference by Similarity to the Ideal Solution). Generally, TOPSIS is based on the concept of minimum distance from the positive ideal solution and maximum distance from the negative ideal solution. We examine the deficiencies of using only one metric function in TOPSIS and propose the use of spherical metric function in addition to the commonly used metric functions. For empirical supplier selection problems, more than one metric function should be used.

B-School Selection by Fuzzy TOPSIS and AHP

2018 ◽  
pp. 929-955 ◽  
Author(s):  
Vivek Agrawal ◽  
Vikas Tripathi ◽  
Nitin Seth
Keyword(s):  
Fuzzy Topsis ◽  
Multi Criteria Decision Making ◽  
School Evaluation ◽  
Rapid Rise ◽  
Order Preference ◽  
Professional Degree ◽  
The Subject ◽  
Linguistic Assessment ◽  
School Selection ◽  
Selection Of

Rapid liberalization of education sector in India has resulted in increased competition. As a result, we have witnessed rapid rise in number of management institutes. The student's evaluation about an institute/college is based on multiple criteria. Realizing the need a focused review on the literature was made to understand the subject. The review highlighted that conventional methods for B-school evaluation are inadequate for dealing with the imprecise, uncertain or vague nature of linguistic assessment. To overcome this difficulty, due to MCDM problem, Fuzzy multi-criteria decision-making methods are proposed. The aim of this study is to use fuzzy technique for order preference by similarity to ideal solution (TOPSIS) and Analytical Hierarchal process (AHP) methods for the selection of better B-school. The proposed methods have been applied to a B-School selection problem of the students of NCR and results are presented. This chapter contributes to previous researches by adding a new avenue, where the MCDM technique can be useful. The selection of an institution for getting a professional degree is a very tough task for the students and as well as for their guardians. This method can help them to find a better solution by providing a quantitative framework.

Optimal Location of Sub-Station Using Q-GIS and Multi-Criteria Decision Making Approach

2018 ◽  
Vol 10 (2) ◽  
pp. 65-79 ◽  
Author(s):  
Shabbir Uddin ◽  
Sandeep Chakravorty ◽  
Amitava Ray ◽  
Karma Sonam Sherpa
Keyword(s):  
Site Selection ◽  
Solution Method ◽  
Assessment Method ◽  
Optimal Location ◽  
Multi Criteria Decision Making ◽  
Order Preference ◽  
Topsis Technique ◽  
Strength Of Association ◽  
Selection Of

In this article, methodologies have been proposed for site selection of sub-station considering technical and non-technical constraints. Firstly, a systematic frame has been developed considering various factors that influence the optimal location of the sub-station. Various factors considered are evaluated using DEMATEL-QFD. An evaluation has been done between the outcome of the TOPSIS (Technique for order preference by similarity to ideal solution) method and the COPRAS (Compressed Proportional Assessment) method. Finally, Spearman rank co-relation co-efficients indicates the strength of association of both the methodologies. A case study is done using GIS to prove the justification of the methodologies to the applied area. The application of the methodologies will help the decision maker improve the plan, location and grid renovation of the distribution sub-stations.

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