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Fuzzy rank
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This model is the combination of SWARA (Stepwise weight assessment ratio analysis) and FVIKOR (VlseKriter ijumskaOptimizacija I KompromisnoResenje) methods which evaluate the main criteria’s based on evaluation of factors that have major impacts on quality of suppliers, and selects the best suppliers according to the criteria’s.
9p
longtimenosee10
26-04-2024
3
1
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Ebook "Data mining with computational intelligence" includes content: Introduction, MLP neural networks for time series prediction and classification, fuzzy neural networks for bioinformatics, an improved RBF neural network classifier, an improved RBF neural network classifier, attribute importance ranking for data dimensionality reduction,...and other contents.
280p
haojiubujain07
20-09-2023
5
3
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Ebook "Service oriented and cloud computing" includes content: Aservice delivery framework to support opportunistic collaborations, probabilistic topic models for web services clustering and discovery, managing imprecise criteria in cloud service ranking with a fuzzy multi criteria decision making method, modeling quality attributes of cloud standby systems - a long term cost and availability model,... and other contents.
253p
haojiubujain07
20-09-2023
5
3
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This paper proposes a method of ranking load in Microgird system based on the calculation of priority weights on the continuity of power supply of the loads. The proposed method applies the covariance matrix of the criterion layer to determine values of each criterion.
9p
visusanwojcicki
28-06-2022
9
3
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The results, distinctions in ranking alternatives by different FMCDA models may be considered as significant both for ranking and choice multicriteria problematiques. This research is of fundamental and applied importance and has no analogues.
22p
guernsey
28-12-2021
4
0
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Public–Private Partnership (PPP) has emerged as an effective procurement in delivering infrastructure and public service in many countries over the world since last few decades. It brought more benefits for sustainable development compared to traditional procurement in many developing countries. However, in order to determine whether a project is successful or not has still remained an ambiguous perception. Therefore, this study will rank the successful level for PPP transportation infrastructure projects in Vietnam via case studies.
16p
kequaidan6
11-07-2020
31
2
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This paper proposes a framework for selecting energy storage technology (EST) for small-scale renewable energy systems. The present study was able to achieve this using the results that were generated from a Preference Ranking Organisation Method for Enrichment Evaluation (PROMETHEE) and a fuzzy quality function deployment (FQFD) model.
10p
tohitohi
22-05-2020
17
0
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This paper proposes a new method on ranking fuzzy numbers through the process of defuzzification by using maximizing and minimizing set on the triangular fuzzy numbers formed from generalized trapezoidal fuzzy numbers.
18p
tohitohi
22-05-2020
19
1
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There is no denial of the fact that performance evaluation is a critical managerial attempt in any organization especially financial institutions such as banks. MCDM methods have been utilized as efficient and common tools in many fields such as finance and economy and attract significant attention from public and financial regulators. The numerous opinions and enormous criteria associated with bank performance evaluation confines the implication of any single objective model. Therefore, multi-criteria decision making approach has been applied for this purpose.
19p
chauchaungayxua2
04-01-2020
17
1
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An effective knowledge transfer (KT) process is a key factor in achieving the competitive advantage that is critical for software development companies seeking to maintain their existence and improve their performance. However, there do exist obstacles to the achievement of effective knowledge transfer. Companies often face difficulties in identifying those barriers that have the great impact on KT as well as the best solutions with which to address them. Through a systematic literature review and interviews conducted with 15 experts, we identified 21 KT barriers and 12 KT solutions.
34p
kequaidan1
05-11-2019
19
1
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Banking has always played an important role in the economy because of its effects on individuals as well as on the economy. In the process of renovation and modernization of the country, the system of commercial banks has changed dramatically. Business models and services have become more diversified.
9p
viartemis2711
22-10-2019
22
0
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The implementation of Weighted Page Content Rank algorithm has been carried out and the result shows that it takes too much time to process the Web Pages. As the number of Web Pages increases, there is also increase in the processing time. So, in this paper, the Fuzzy Logic is implemented on WPCR algorithm to decrease the processing time of Web pages.
9p
byphasse043256
24-03-2019
24
3
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In this paper, we present logic-based aggregation models used for ranking student applicants and we compare them with a number of existing aggregation methods, each more complex than the previous one. The proposed models aim to include dependencies in the data using Logical aggregation (LA).
17p
danhnguyentuongvi27
19-12-2018
20
1
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In this paper, a multi-objective economic order quantity model with shortages and demand dependent unit cost under storage space constraint is formulated. In real life situation, the objective and constraint goals and cost parameters are not precisely defined. These are defined in fuzzy environment. The cost parameters are represented here as triangular shaped fuzzy numbers with different types of left and right branch membership functions.
18p
vinguyentuongdanh
19-12-2018
27
0
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In this paper, a new fuzzy multi-criteria mathematical model for the selection of the best among a finite number of ordering policy of raw material in a supply chain is developed. The problem treated is a part of the purchasing plan of a company in an uncertain environment and it is very common in business practice. Optimization criteria selected describe the performance measures of ordering policies and generally their relative importance is different. It is assumed that the values of the optimization criteria are vague and imprecise.
16p
vinguyentuongdanh
20-12-2018
26
0
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The evaluation and ranking of Greek wood companies based on actual financial data is a very complicated task and it requires expertise knowledge and skills. On the other hand a computer expert system can perform validation and evaluation in an efficient way and can substitute human experts. An expert system was designed and developed towards this direction.
11p
vinguyentuongdanh
20-12-2018
24
0
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This paper proposes a revised ranking approach to overcome the shortcomings of Liou and Wang’s ranking approach. The proposed ranking approach presents the novel left, right, and total integral values of the fuzzy numbers. The median value ranking approach is further applied to differentiate fuzzy numbers that have the compensation of areas.
6p
sansan1
24-05-2018
29
2
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This paper proposes an extension of fuzzy multi-criteria decision making (MCDM) approach for selecting solar PV energy technologies. In the proposed approach, several PV technologies are used as the alternatives. The ratings of alternatives - PV technologies under various criteria and the weights of criteria are assessed in linguistic terms represented by fuzzy numbers.
10p
sansan1
24-05-2018
37
1
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This paper presents the solution to problems of fuzzy ranking Vietnamese documents using approach of Hedge Algebra based on envaluating an accordance of found documents by heuristic criteria. These criteria firstly are evaluated by degree of importance (weight) and then are combined following some aggregation operator to define final evaluation unique number, that will be used for sorting the documents. The experimental results are presented to show the effectiveness of the proposed solution.
10p
binhminhmuatrenngondoithonggio
09-06-2017
36
2
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This paper presents a novel method to suggest long word reorderings to a phrase-based SMT decoder. We address language pairs where long reordering concentrates on few patterns, and use fuzzy chunk-based rules to predict likely reorderings for these phenomena. Then we use reordered n-gram LMs to rank the resulting permutations and select the n-best for translation.
10p
nghetay_1
07-04-2013
29
1
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