scholarly journals Statistical Analysis of the Reliability of a Decision Obtained by the TOPSIS Method

2019 ◽  
Vol 54 (1) ◽  
pp. 110-118 ◽  
Author(s):  
Rūta Simanavičienė ◽  
Jovita Cibulskaitė
Keyword(s):  
Decision Making ◽  
Statistical Analysis ◽  
Initial Data ◽  
Confidence Intervals ◽  
Engineering Industry ◽  
Topsis Method ◽  
Multicriteria Decision ◽  
Data Errors ◽  
Measure Reliability ◽  
Statistical Analysis Methods

The tasks of making the most appropriate decisions taking into account a number of criteria are dealt with in variousfields such as engineering, industry, finance, economics and others. If the aim is to arrange the alternatives in a priority lineaccording to quantitative attributes, then multiattribute decision-making methods are suitable. Analysts using these methods usuallydo not take into account initial data errors – deviations in attribute values, in which case the decision may be unreliable. In thisarticle, several statistical analysis methods are proposed for the multicriteria decision to measure reliability: formulation of statisticalhypotheses and calculation of confidence intervals for parameters. Based on statistical analysis results, conclusions about thereliability of a multicriteria decision obtained using the TOPSIS method are formulated.

scholarly journals Sensitivity Analysis of the TOPSIS Method in Respect of Initial Data Distributions

2016 ◽  
Vol 55 (1) ◽  
pp. 45-51
Author(s):  
Rūta Simanavičienė ◽  
Vaida Petraitytė
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Statistical Analysis ◽  
Initial Data ◽  
Beta Distribution ◽  
Probability Distributions ◽  
Data Distribution ◽  
Multiple Criteria Decision Making ◽  
Topsis Method ◽  
Log Normal

The present article investigates the sensitivity of the multiple criteria decision-making method TOPSIS in respectof attribute probability distributions. To carry out research, initial data – attribute values – were generated according to anormal, log-normal, uniform, and beta distributions. Decision matrixes were constructed from the generated data. Byapplying the TOPSIS method to the matrixes generated, result samples were received. A statistical analysis was conductedfor the results obtained, which revealed that the distributions of the initial data comply with the distributions of the resultsreceived by the TOPSIS method. According to the most common alternative rank value, it was ascertained that the TOPSISmethod is the most sensitive for data distribution according to beta distribution, and the least sensitive for data distributionaccording to lognormal distribution.

scholarly journals THE METHODS OF SENSITIVITY ANALYSIS AND THEIR USAGE FOR ANALYSIS OF MULTICRITERIA DECISION / JAUTRUMO ANALIZĖS METODAI IR JŲ NAUDOJIMAS DAUGIAKRITERINIAMS SPRENDIMAMS ANALIZUOTI

2011 ◽  
Vol 3 (1) ◽  
pp. 25-28 ◽  
Author(s):  
Rūta Simanavičienė ◽  
Leonas Ustinovičius
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Initial Data ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Decision Making Process ◽  
Multicriteria Decision ◽  
Analysis Methods

In this paper we describe the application's fields of the sensitivity analysis methods. We pass in review the application of these methods in multiple criteria decision making, when the initial data are numbers. We formulate the problem, which of the sensitivity analysis methods is more effective for the usage in the decision making process.

scholarly journals Sistem Pendukung Keputusan Menentukan Tingkat Resiko Penjualan Online Dengan Menggunakan Metode TOPSIS

2021 ◽  
Vol 4 (1) ◽  
pp. 20-25
Author(s):  
Yosapat Sembiring ◽  
Paska Marto Hasugian
Keyword(s):  
Decision Making ◽  
Data Management ◽  
Programming Language ◽  
Multicriteria Decision Making ◽  
Decision Making Process ◽  
Topsis Method ◽  
Multicriteria Decision ◽  
Online Sales ◽  
Research Problems ◽  
Level Of Risk

At this time many people have started selling online. Even though only with makeshift items to make online sales, not a few people have succeeded in making these online sales. The TOPSIS method is one of the multicriteria decision-making methods, this method is one that is widely used to complete practical decision making. The more factors that must be considered in the decision making process, the more difficult it will be to make a decision on an issue. identification of research problems is the application of the DSS in determining the level of risk of online sales. This system was built using the PHP programming language with data management using the MySQL database. Rank results 1. Furniture = 0.8062 2.Electronics = 0.5810 3. Fashion = 0.1230

scholarly journals A Modified TOPSIS Method Based onDNumbers and Its Applications in Human Resources Selection

2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
Liguo Fei ◽  
Yong Hu ◽  
Fuyuan Xiao ◽  
Luyuan Chen ◽  
Yong Deng
Keyword(s):  
Decision Making ◽  
Human Resources ◽  
Multicriteria Decision Making ◽  
Uncertain Information ◽  
Human Beings ◽  
Topsis Method ◽  
Decision Matrix ◽  
Multicriteria Decision ◽  
Decision Making Problem ◽  
Modified Topsis

Multicriteria decision-making (MCDM) is an important branch of operations research which composes multiple-criteria to make decision. TOPSIS is an effective method in handling MCDM problem, while there still exist some shortcomings about it. Upon facing the MCDM problem, various types of uncertainty are inevitable such as incompleteness, fuzziness, and imprecision result from the powerlessness of human beings subjective judgment. However, the TOPSIS method cannot adequately deal with these types of uncertainties. In this paper, aD-TOPSIS method is proposed for MCDM problem based on a new effective and feasible representation of uncertain information, calledDnumbers. TheD-TOPSIS method is an extension of the classical TOPSIS method. Within the proposed method,Dnumbers theory denotes the decision matrix given by experts considering the interrelation of multicriteria. An application about human resources selection, which essentially is a multicriteria decision-making problem, is conducted to demonstrate the effectiveness of the proposedD-TOPSIS method.

scholarly journals Decision Making in Uncertain Rural Scenarios by means of Fuzzy TOPSIS Method

2011 ◽  
Vol 2011 ◽  
pp. 1-15 ◽  
Author(s):  
Eva Armero ◽  
M. Socorro García-Cascales ◽  
M. Dolores Gómez-López ◽  
M. Teresa Lamata
Keyword(s):  
Decision Making ◽  
Environmental Control ◽  
Multicriteria Decision Making ◽  
Fuzzy Topsis ◽  
Uncertain Information ◽  
Topsis Method ◽  
Linguistic Terms ◽  
Multicriteria Decision

A great deal of uncertain information which is difficult to quantify is taken into account by farmers and experts in the enterprise when making decisions. We are interested in the problems of the implementation of a rabbit-breeding farm. One of the first decisions to be taken refers to the design or type of structure for housing the animals, which is determined by the level of environmental control sought to be maintained in its interior. A farmer was consulted, and his answers were incorporated into the analysis, by means of the fuzzy TOPSIS methodology. The main purpose of this paper is to study the problem by means of the fuzzy TOPSIS method as multicriteria decision making, when the information was given in linguistic terms.

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