An Evaluation Model Based on Rough Sets

2014 ◽  
Vol 602-605 ◽  
pp. 3379-3383
Author(s):  
Yong Sheng Liu ◽  
Zan Zhang
Keyword(s):  
Decision Making ◽  
Information System ◽  
Knowledge Discovery ◽  
Rough Sets ◽  
Choquet Integral ◽  
Evaluation Model ◽  
Fuzzy Measure ◽  
Model Based

In multiattribute decision making, it is critical to indentify the importance degree of attributes before the overall assessment of the alternatives. In this paper, we give a measurement of importance degree of attributes based on knowledge discovery in the decision information system, which satisfies the conditions of fuzzy measure. Further, we construct an evaluation model combined Choquet integral with the importance degree measure. The case study illustrates the validity and the effectiveness of the method.

Comprehensive Evaluation Model Based on Synthetic Importance Measure

2013 ◽  
Vol 380-384 ◽  
pp. 987-990
Author(s):  
Xiang Jun Ji ◽  
Zan Zhang ◽  
Fa Chao Li
Keyword(s):  
Information System ◽  
Rough Sets ◽  
Choquet Integral ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Aggregation Operator ◽  
Fuzzy Measure ◽  
Importance Measure ◽  
Valuation Model ◽  
Comprehensive Evaluation Model

To solve the problem of attributes interdependence and correlation in comprehensive evaluation, the paper proposes to identify the relationships among the attributes from the decision information system based on the covering rough sets. It first shows a metric with the characteristics of fuzzy measure to measure the hidden importance of attributes, which can be seen as a reflection of the attributes correlation. Then the synthetic importance measure is given by incorporating it into the basic importance. Furthermore, the comprehensive valuation model is constructed by taking Choquet integral as an aggregation operator.

Diversion System Scenarios Optimization Considering Indicators Correlation

2014 ◽  
Vol 1065-1069 ◽  
pp. 2554-2560
Author(s):  
Li Zhe Luo ◽  
Xue Hong Yang ◽  
Wen Zhen Yu ◽  
Shao Hua Pan
Keyword(s):  
Decision Making ◽  
Correlation Analysis ◽  
Choquet Integral ◽  
Fuzzy Measure ◽  
Entropy Principle ◽  
Hydropower Engineering ◽  
Rank And Select ◽  
Measure Entropy

The decision-making indicators of hydropower engineering diversion scenario are always related with diversion risk, and for determining the optimal scenario, correlation analysis and decoupling for indicators is the key problem. Using k-additive fuzzy measure to characterize and decouple the relevance of indicators on the base of the analysis and quantization of indicators, and determining the weights of indicators according to maximum fuzzy measure entropy principle, finally the synthetic appraisal value for diversion scenarios can be calculated with choquet integral to rank and select optimal scenario. The case study shows that the decision-making method is effective for characterizing and decoupling the relevance of the indicators and enhancing the decision-making veracity to provide an effective method for the diversion scenario decision of hydropower engineering.

PENGEMBANGAN SISTEM INFORMASI EVALUASI LAYANAN AKADEMIK UNTUK INSTITUT TEKNOLOGI KALIMANTAN

JURTEKSI ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 35-40
Author(s):  
Rosa Eliviani ◽  
Lovinta Happy Atrinawati ◽  
Tegar Palyus Fiqar
Keyword(s):  
Higher Education ◽  
Information System ◽  
System Building ◽  
Model Based ◽  
Academic Activities ◽  
Analysis Design ◽  
Waterfall Model ◽  
Institute Of Technology ◽  
Evaluation Information

Abstract: Higher Education can exercise management autonomy, that is to evaluate using an information system independently. The case study taken in this study is the Kalimantan Institute of Technology (ITK). So far, ITK has used a survey information system to evaluate ITK, but the information system is static so that it is not following the current needs of ITK. Based on that, this research is developing an evaluation information system at ITK so that this information system is expected to be able to monitor and evaluate the process of activities at ITK. The method used is the waterfall model. Based on the waterfall method, the methodology used in this research is start from the identification of the problem, then study the literature and enter the system building stage, namely the analysis, design, implementation and testing stages, as well as conclusions and suggestions. The results obtained are in the form of an information system for evaluating academic activities and services that have been approved by ITK on the http://evaluasi.itk.ac.id page.            Keywords: evaluation; information system; ITK  Abstrak: Perguruan Tinggi memiliki kemampuan untuk melaksanakan otonomi pengelolaan yaitu dievaluasi secara mandiri menggunakan sistem informasi. Studi kasus yang diambil pada penelitian ini adalah Institut Teknologi Kalimantan (ITK). Selama ini ITK telah menggunakan sistem informasi survey untuk mengevaluasi ITK, namun sistem informasi tersebut bersifat statis sehingga telah tidak sesuai dengan kebutuhan ITK saat ini. Berdasarkan hal itu, penelitian ini adalah mengembangkan sistem informasi evaluasi di ITK sehingga diharapkan sistem informasi ini dapat memantau dan mengevaluasi proses kegiatan di ITK. Metode yang digunakan adalah waterfall model. Berdasarkan metode waterfall tersebut, maka metodologi yang digunakan pada penelitian ini dimulai dari identifikasi masalah, kemudian studi literatur dan memasuki tahap membangun sistem yaitu tahap analisis, desain, implementasi dan pengujian, serta kesimpulan dan saran. Hasil penelitian yang diperoleh adalah berupa sistem informasi evaluasi kegiatan akademik dan layanan yang telah disetujui ITK di halaman http://evaluasi.itk.ac.id. Kata kunci: evaluasi; sistem informasi; ITK

Assessing the Performance of Decision Support Systems in Military Environment

2015 ◽  
pp. 45-70 ◽  
Author(s):  
Jean-Fabrice Lebraty ◽  
Cécile Godé
Keyword(s):  
Decision Making ◽  
Information System ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Extreme Environment ◽  
Is Success ◽  
Original Case ◽  
And Performance

This article explores the ability of a decision support system (DSS) to improve the quality of decision making in extreme environment. This DSS is actually based on a networked information system. Academic literature commonly mentions models of fit to explore the relationship between technology and performance, reckoning users' evaluations as a relevant measurement technique for Information System (IS) success. Although effective contributions have been achieved in measurement and exploration of fit, there have been few attempts to investigate the triangulation of fit between “Task-DSS-Decision Maker” under stressful and uncertain circumstances. This article provides new insights regarding the advantages provided by networked IS for making relevant decisions. An original case study has been conducted. It is focused on a networked decision support system called Link 16 that is used during aerial missions. This case study shows that the system improves decision making on an individual basis. Our result suggest the importance of three main fit criteria – Compliance, Complementarity and Conformity – to measure DSS performance under extreme environment and display a preliminary decisional fit model.

A CHOQUET INTEGRAL REGRESSION MODEL BASED ON A NEW FUZZY MEASURE

2007 ◽  
pp. 1349-1355 ◽  
Author(s):  
HSIANG-CHUAN LIU ◽  
WEN-CHIH LIN ◽  
WEI-SHENG WENG
Keyword(s):  
Regression Model ◽  
Choquet Integral ◽  
Fuzzy Measure ◽  
Model Based

Group Decision Model Based on Ordered Weighted Distance to Aid Decisions on Logistics

2018 ◽  
Vol 26 (02) ◽  
pp. 233-254 ◽  
Author(s):  
Jose Leao E Silva Filho ◽  
Danielle Costa Morais
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Decision Model ◽  
Group Decision ◽  
Decision Rules ◽  
Decision Makers ◽  
Weighted Distance ◽  
Model Based ◽  
Decision Making Model

This paper presents a group decision-making model using a distance aggregator based on Ordered Weighted Distance (OWD) which offers a solution that can reduce disagreement between decision makers (DMs). This paper discusses decision rules and sets out measures to evaluate compensatory effects that have a bearing on DMs’ opinions. The model uses formulations of distances to reveal the differences in opinion among DMs and discusses the meanings of distance and the information presented by each DM. Finally, a case study of a logistics problem is used to illustrate how the model is applied.

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