scholarly journals Implementing Fuzzy TOPSIS on Project Risk Variable Ranking

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Saiful Husin ◽  
Fachrurrazi Fachrurrazi ◽  
Maimun Rizalihadi ◽  
Mubarak Mubarak
Keyword(s):  
Quality Criteria ◽  
Fuzzy Topsis ◽  
Frequency Of Occurrence ◽  
Time Cost ◽  
Topsis Method ◽  
Project Risk ◽  
Small Impact ◽  
Risk Variable ◽  
Unskilled Labour ◽  
Variable Ranking

Managing construction risks with a large number of risks with small impact can increase the additional effort and cost of inefficient construction. Therefore the variables need to be eliminated. The aim of this study is ranking the risk variable based on its frequency of occurrence by integrating time, cost, and quality criteria simultaneously and selecting the top ten variables with the order of the most significant impact. The risk variable ranking based on triple project objective of cost, time, and quality simultaneously is a challenge for particular projects or regions contributing to the risk context. A number of 127 qualitative risk variables of 14 factors occurring in a project to be eliminated require a method/technique. A fuzzy TOPSIS method involving linguistics data is proposed to capture vague conditions. Results show that the top ten rankings of risk variables based on integrating the different weights of cost, time, and quality are successfully identified by concluding that the labour factor is the most dominant variable affecting project risk in context the rehabilitation and reconstruction posttsunami disaster, especially in Aceh-Indonesia. The variables are lack of labour, unskilled labour, undisciplined labour, and low productivity of labour. This condition can differ from different risk contexts. This research is different from other studies that only review cost, time, and quality separately. We stated that to integrate all three criteria of cost, time, and quality simultaneously is more logic to analyze risk variable ranking.

scholarly journals Comparative Analysis of Long-Distance Transportation with the Example of Sea and Rail Transport

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1689
Author(s):  
Tomasz Neumann
Keyword(s):  
Eastern China ◽  
Time Cost ◽  
Topsis Method ◽  
Long Distance ◽  
Long Distance Transport ◽  
The Subject ◽  
Transport Analysis ◽  
Multi Criteria Analysis ◽  
The Relationship ◽  
Distance Transport

The subject of the article is a comparative long-distance transport analysis based on the relationship between central and eastern China and Poland. It provides an overview of issues related to long-haul China–Poland. The technique for order of preference by similarity to ideal solution (TOPSIS) method was proposed in the multi-criteria analysis. This method was briefly discussed, and its choice was justified. Then, the criteria adopted in the analysis were presented, i.e., time, cost, maximum number of containers, and ecology index. Multi-criteria analysis was carried out for three cases: the transport of one loading unit, 82 loading units, and 200 loading units. The geopolitical and operational situation on the transport route for the analyzed modes of transport was discussed.

scholarly journals Identification and Prioritization of Factors Affecting Increasing Public Participation in Tax Payment Using Fuzzy Topsis Method

2020 ◽  
Vol 28 (46) ◽  
pp. 103-128
Author(s):  
esmaeil gharanjik ◽  
mohamad ziaadini ◽  
mostsfa hadavi nezhad ◽  
◽  
◽  
...  
Keyword(s):  
Public Participation ◽  
Fuzzy Topsis ◽  
Topsis Method ◽  
Factors Affecting

scholarly journals A novel conceptual framework to identify the mineral laws in Iran: A real-case application of fuzzy TOPSIS method

2021 ◽  
pp. 163-174
Author(s):  
Mehdi Ghazanfari ◽  
Morteza Hashempour
Keyword(s):  
Conceptual Framework ◽  
Human Life ◽  
Fuzzy Topsis ◽  
Developed Countries ◽  
Abandoned Mines ◽  
Topsis Method ◽  
Mineral Industry ◽  
Environmental Laws ◽  
Solution Methods ◽  
Conflict Solution

Due to the important environmental effects on human life and the conflict between the mining process and environmental factors, the enactment of protectionist environmental laws in the mineral industry has received extensive attention especially in countries with high mining potential. In this regard, using an extended fuzzy TOPSIS method, this study develops a novel conceptual framework to identify the key protection laws in Iran by considering the mineral successful laws and regulations in mineral-developed countries such as Australia, Chile, India, Turkey, Canada, South Africa, and China. This helps to apply the experiences of the abovementioned countries in resolving similar conflicts in Iran’s mineral industry. The key protection laws are selected based on their national and international environmental treaties, mines’ environmental protection laws, conflict solution methods, social responsibilities in mining activity, and laws for the abandoned mines. The proposed framework demonstrates that Iran’s mineral laws require revision and more transparency to avoid ambiguity and conflict with mineral property laws and governmental rights.

scholarly journals Evaluation of Investment Opportunities With Interval-Valued Fuzzy Topsis Method

2020 ◽  
Vol 5 (1) ◽  
pp. 461-474 ◽  
Author(s):  
Naiyer Mohammadi Lanbaran ◽  
Ercan Celik ◽  
Muhammed Yiğider
Keyword(s):  
Decision Making ◽  
Fuzzy Set ◽  
Estimation Error ◽  
Fuzzy Topsis ◽  
Optimal Choice ◽  
Topsis Method ◽  
Relative Closeness ◽  
Ideal Solutions ◽  
Fuzzy Logic Theory ◽  
Interval Valued

AbstractThe purpose of this study is extended the TOPSIS method based on interval-valued fuzzy set in decision analysis. After the introduction of TOPSIS method by Hwang and Yoon in 1981, this method has been extensively used in decision-making, rankings also in optimal choice. Due to this fact that uncertainty in decision-making and linguistic variables has been caused to develop some new approaches based on fuzzy-logic theory. Indeed, it is difficult to achieve the numerical measures of the relative importance of attributes and the effects of alternatives on the attributes in some cases. In this paper to reduce the estimation error due to any uncertainty, a method has been developed based on interval-valued fuzzy set. In the suggested TOPSIS method, we use Shannon entropy for weighting the criteria and apply the Euclid distance to calculate the separation measures of each alternative from the positive and negative ideal solutions to determine the relative closeness coefficients. According to the values of the closeness coefficients, the alternatives can be ranked and the most desirable one(s) can be selected in the decision-making process.

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