Investing in the Sheep Farming Industry: A Study Case Based on Genetic Algorithms

2012 ◽  
pp. 337-346 ◽  
Author(s):  
Iracema del Pilar Angulo-Fernandez ◽  
Alberto Alfonso Aguilar-Lasserre ◽  
Magno Angel Gonzalez-Huerta ◽  
Constantino Gerardo Moras-Sanchez
Keyword(s):  
Genetic Algorithms ◽  
Study Case ◽  
Farming Industry ◽  
Case Based

Rheology of concrete: a study case based upon the use of the concrete equivalent mortar

2012 ◽  
Vol 46 (4) ◽  
pp. 587-605 ◽  
Author(s):  
F. J. Rubio-Hernández ◽  
J. F. Velázquez-Navarro ◽  
L. M. Ordóñez-Belloc
Keyword(s):  
Study Case ◽  
Concrete Equivalent Mortar ◽  
Case Based

Retrieving Assembly Part Design Using Case-Based Reasoning and Genetic Algorithms

2005 ◽  
Author(s):  
Guanghsu A. Chang ◽  
Cheng-Chung Su ◽  
John W. Priest
Keyword(s):  
Artificial Intelligence ◽  
Genetic Algorithms ◽  
Nearest Neighbor ◽  
Similarity Measures ◽  
Experimental Results ◽  
Case Based Reasoning ◽  
Feature Weight ◽  
Similar Part ◽  
Case Base ◽  
Case Based

Artificial intelligence (AI) approaches have been successfully applied to many fields. Among the numerous AI approaches, Case-Based Reasoning (CBR) is an approach that mainly focuses on the reuse of knowledge and experience. However, little work is done on applications of CBR to improve assembly part design. Similarity measures and the weight of different features are crucial in determining the accuracy of retrieving cases from the case base. To develop the weight of part features and retrieve a similar part design, the research proposes using Genetic Algorithms (GAs) to learn the optimum feature weight and employing nearest-neighbor technique to measure the similarity of assembly part design. Early experimental results indicate that the similar part design is effectively retrieved by these similarity measures.

The Complementary and Substitutive Impact of Airbnb on The Bankruptcy of Traditional Hotels in The City of Barcelona

2020 ◽  
pp. 109634802095081
Author(s):  
Mariluz Maté-Sánchez-Val
Keyword(s):  
Hotel Industry ◽  
Market Concentration ◽  
Business Failure ◽  
Failure Model ◽  
Study Case ◽  
The Impact ◽  
The City ◽  
Case Based

The effects of Airbnb on the hotel industry have been debated in different academic forums without a close answer about whether its effects on the hotel industry are complementary or substitutive. To help clarify this issue, this article proposes a business failure model to analyze the impact of Airbnb on the bankruptcy of traditional hotels. In particular, we develop a study case based on a sample of hotels in the city of Barcelona between 2015 and 2018. In addition, we distinguish Airbnb listings’ characteristics such as type of room or market concentration to show an additional understanding of Airbnb effects. Our results show that Airbnb plays a double complementary and substitutive role in traditional hotels’ disruption. In particular, we conclude that Airbnb’s private rooms and the concentration of the Airbnb market in fewer hosts are the main threats to traditional accommodation providers.

Computer aided diagnosis with case-based reasoning and genetic algorithms

2002 ◽  
Vol 15 (1-2) ◽  
pp. 45-52 ◽  
Author(s):  
Elisabet Golobardes ◽  
Xavier Llorà ◽  
Maria Salamó ◽  
Joan Martı́
Keyword(s):  
Genetic Algorithms ◽  
Computer Aided Diagnosis ◽  
Case Based Reasoning ◽  
Computer Aided ◽  
Aided Diagnosis ◽  
Case Based

Case-Based Reasoning Model with Genetic Algorithms, Group Decision-Making and Template Reduction

2016 ◽  
Vol 25 (02) ◽  
pp. 1550032 ◽  
Author(s):  
Aijun Yan ◽  
Hairuo Song ◽  
Pu Wang
Keyword(s):  
Decision Making ◽  
Genetic Algorithms ◽  
Group Decision Making ◽  
Nearest Neighbor ◽  
Group Decision ◽  
Small Samples ◽  
Case Based Reasoning ◽  
Case Retrieval ◽  
Attribute Weights ◽  
Case Based

Case retrieval, case reuse and case retention are critical to the reasoning performance of the traditional case-based reasoning (CBR) model. In this paper, the integrated use of template reduction technology (TR), genetic algorithms (GA), nearest neighbor (NN) rules and group decision-making (GDM) establishes the CBR-GDM model. First, the TR method of the case base is introduced. Then, an attribute weights optimization using GA is discussed in the case retrieval phase. After that, a case reuse method is carried out with NN and GDM. Finally, 10 data sets from UCI are used to carry out a comparison experiment by 5-fold cross-validation. The classification accuracy rate and the classification efficiency are analyzed under the small samples, before and after the data reduction. The results show that, combined with TR, GA and GDM, the pattern classification performance by CBR can be improved.

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