fuzzy borda
59361288
An Improved Fuzzy Borda Count and its Application to Watershed Management
J Zou Zeyuan Qiu
114179862
Application of Fuzzy Borda Combination Evaluation in Subjective and Objective Evaluation Methods in Comprehensive Evaluation of Population Development
This paper constructs the comprehensive index evaluation of population development from the three aspects of human development, population and economic society and population, resources and environment, according to the movement course and changing trend of population development at home and abroad, and the guiding ideology of national population development strategy system. The index system consists of 3 first level indexes, 8 Secondary indexes, 22 tertiary level indexes and 42 fourth level indexes. And on the basis of commonly used comprehensive evaluation methods. The comprehensive evaluation of the population development in China in 2013 was made by using the combined evaluation method, which effectively overcomes the shortcomings of the objective evaluation method and the subjective evaluation method, and obtains a more credible comprehensive evaluation value.
Jiajia Yu Hongqi Ma Yuqi Han
67869013
Incomplete Hesitant Fuzzy Preference Relations in Group Decision Making
In this article, incomplete hesitant fuzzy preference relations are under consideration. In order to estimate expressible missing preferences, a hesitant upper bound condition (hubc) is defined for decision makers presenting incomplete information. With the help of this condition, the estimated preference intensities lie inside the defined domain and thus are expressible. An algorithm is proposed to revise minimal possible preferences so that the resultant satisfies property (hubc) Moreover, ranking rule, HF Borda count, for hesitant fuzzy preference relations is defined. This method dissolves possible ties among alternatives.
Int. J. Fuzzy Syst.
Asma Khalid Ismat Beg
19983397
Fuzzy Analogy Based Effort Estimation: An Empirical Comparative Study
Software Development Effort Estimation (SDEE) plays a primary role in software project management. Among several techniques suggested for estimating software development effort, analogy based software effort estimation approaches stand out as promising techniques.In this paper, the performance of Fuzzy Analogy is compared with that of six other SDEE techniques (Linear Regression, Support Vector Regression, Multi Layer Perceptron, M5P and Classical Analogy) The evaluation of the SDEE techniques was performed over seven datasets with two evaluation techniques (All in and Jackknife) The first step of the evaluation aimed to ensure that the SDEE techniques outperformed random guessing by using the Standardized Accuracy (SA) Then, we used a set of reliable performance measures (Pred(0.25) MAE, MBRE, MIBRE and LSD) and Borda count to rank them and identify which techniques are the most accurate.The results suggest that when using All in evaluation, Fuzzy Analogy statistically outperformed the other SDEE techniques regardless of the dataset used. However, when using Jackknife evaluation, the results obtained depended on the dataset and the SDEE technique used. The results suggest that Fuzzy Analogy is a promising technique for software development effort estimation.
2017 IEEE International Conference on Computer and Information Technology (CIT)
Ali Idri Ibtissam Abnane
164390333
Topologias virtuais confiaveis considerando multiplos criterios para o contexto borda como servico
Atualmente a Internet faz parte do cotidiano das pessoas, sendo um meio de comunicacao essencial. Contudo, esta sofre de limitacoes que impedem a Internet de garantir Qualidade de Servico (QoS) aos usuarios. Recentemente, a comunidade cientifica apresentou o paradigma Borda como Servico (EaaS) como uma possivel abordagem para melhorar o servico de acesso a Internet. EaaS implanta redes virtuais (VNs) sobre Redes Definidas por Software (SDN) para facilitar o gerenciamento de Provedores de Internet (ISPs) O paradigma EaaS necessita de um algoritmo para gerar topologias virtuais para as VNs considerando a utilizacao de recursos, consumo de energia e a confiabilidade do servico prestado. Dentro deste contexto, este artigo apresenta o algoritmo Fuzzy como base para Alocacao (FUZA) para definir topologias virtuais confiaveis baseado em um sistema fuzzy que considera o consumo de energia e a disponibilidade de largura de banda. Os resultados sugerem que o algoritmo proposto pode implantar VNs confiaveis, enquanto melhora a utilizacao de largura de banda e o consumo de energia.
Rafael Lopes Gomes Luiz Fernando Bittencourt Edmundo Roberto Mauro Madeira
22020532
Evaluation of Groundwater Remediation Technologies Based on Fuzzy Multi Criteria Decision Analysis Approaches
Petroleum is an essential resource for the development of society and its production is huge. There is a great risk of leakage of oil during production, refining, and transportation. After entering the environment, the oil pollutants will be a great threat to the environment and may endanger human health. Therefore, it is very important to remediate oil pollution in the subsurface. However, it is necessary to choose the appropriate remediation technology. In this paper, 18 technologies are evaluated through constructing a parameter matrix with each technology and seven performance indicators, and a comprehensive analysis model is presented. In this model, four MCDA methods are used. They are SWA (Simple Weighted Addition Method) WP (Weighted Product Method) CGT (Cooperative Game Theory) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) Mean ranking and Borda ranking methods are used to integrate the results of SWA, WP, CGT, and TOPSIS. Then two selection priorities of each method (mean ranking and Borda ranking) are obtained. The model is proposed to help decide the best choice of remediation technologies. It can effectively reduce contingency, subjectivity, one sidedness of the traditional methods and provide scientific reference for effective decision making.
Hao Wang Yanpeng Cai Qian Tan Yong Zeng
33188861
Empirical evaluation of fuzzy analogy for software development effort estimation
Software Development Effort Estimation (SDEE) plays a primary role in software project management. Among several techniques suggested for estimating software development effort, analogy based software effort estimation approaches stand out as promising techniques. In this paper, the performance of Fuzzy Analogy is compared with that of six other SDEE techniques (Linear Regression, Support Vector Regression, Multi Layer Perceptron, M5P and Classical Analogy) The first step of the evaluation aimed to ensure that the SDEE techniques outperformed random guessing by using the Standardized Accuracy (SA) Then, we used a set of reliable performance measures and Borda count to rank them and identify which techniques are the most accurate. The results suggest that Fuzzy Analogy statistically outperformed the other SDEE techniques regardless of the dataset used.
SAC
Ibtissam Abnane Ali Idri Alain Abran
114940589
A framework for identification of maintenance significant items in reliability centered maintenance
Identification of Maintenance Significant Items (MSI) is one of the key phases of the Reliability Centered Maintenance (RCM) which is a screening phase where the number of items for analysis is reduced. But at present, there is little systematic and convenient operation method to identify the MSI. In this paper, we presented a framework for identification of the MSI through combination of quantitative analysis with qualitative analysis. Firstly, we screened out part of non MSI through the first screening which defines a system boundary, set up a system hierarchy tree and do a Risk Analysis (RA) of a 2th order risk matrix. And secondly, we omitted another part non MSI in the second screening which carried out a Failure Mode and Effects Analysis (FMEA) and do a RA based on a 5th order risk matrix. Moreover, we carried on a quantitative analysis by establishing evaluation indexes and scoring standard of the MSI based on the Analytic Hierarchy Process (AHP) and Fuzzy Borda Count method (FBC) Finally, we completed a case study about the drilling pump to prove the feasibility and practicality of the method. This study is helpful for the applicable and effective Preventive Maintenance (PM) tasks.
Yang Tang Liu Qingyou Jiajia Jing Yan Yang Zou Zheng-wei
31043066
A social choice approach to graded soft sets
We establish a correspondence between ideas from soft computing and social choice. This connection permits to draw bridges between choice mechanisms in both frameworks. We prove that both Soft sets and the novel concept of Graded soft sets can be faithfully represented by well established voting situations in Social Choice. To be precise, their decision making mechanism by choice values coincides with approval voting and the Borda rule respectively. This analysis lays the basis for new insights into soft set inspired decision making with a social choice foundation.
2017 IEEE International Conference on Fuzzy Systems (FUZZ IEEE)
Fatia Fatimah Dedi Rosadi R B Fajriya Hakim Jose Carlos Rodriguez Alcantud
113407861
Using Similarity and Dissimilarity Measures of Binary Patterns for the Comparison of Voting Procedures
An interesting and important problem of how similar and/or dissimilar voting procedures (social choice functions) are dealt with. We extend our previous qualitative type analysis based on rough sets theory which make it possible to partition the set of voting procedures considered into some subsets within which the voting procedures are indistinguishable, i.e. (very) similar. Then, we propose an extension of those analyses towards a quantitative evaluation via the use of degrees of similarity and dissimilarity, not necessarily metrics and dual (in the sense of summing up to 1) We consider the amendment, Copeland, Dodgson, max min, plurality, Borda, approval, runoff, and Nanson, voting procedures, and the Condorcet winner, Condorcet loser, majority winner, monotonicity, weak Pareto winner, consistency, and heritage criteria. The satisfaction or dissatisfaction of the particular criteria by the particular voting procedures are represented as binary vectors. We use the Jaccard Needham, Dice, Correlation, Yule, Russell Rao, Sockal Michener, Rodgers Tanimoto, and Kulczynski measures of similarity and dissimilarity. This makes it possible to gain much insight into the similarity/dissimilarity of voting procedures.
Granular, Soft and Fuzzy Approaches for Intelligent Systems
Janusz Kacprzyk Hannu Nurmi Slawomir Zadrozny