COMBINATION, COOPERATION AND SELECTION OF CLASSIFIERS: A STATE OF THE ART

Author(s):  
V. GUNES ◽  
M. MÉNARD ◽  
P. LOONIS ◽  
S. PETIT-RENAUD

When several classifiers are brought to contribute to the same task of recognition, various strategies of decisions, implying these classifiers in different ways, are possible. A first strategy consists in deciding using different opinions: it corresponds to the combination of classifiers. A second strategy consists in using one or more opinions for better guiding other classifiers in their training stages, and/or to improve the decision-making of other classifiers in the classification stage: it corresponds to the cooperation of classifiers. The third and last strategy consists in giving more importance to one or more classifiers according to various criteria or situations: it corresponds to the selection of classifiers. The temporal aspect of Pattern Recognition (PR), i.e. the possible evolution of the classes to be recognized, can be treated by the strategy of selection.

Author(s):  
Paulo Botelho Pires ◽  
António Correia Barros ◽  
Filipe Taveira Santos

This study identifies the criteria underlying the buying decision-making process of medical devices in reproductive medicine. This research had three main objectives. The first one was to translate the criteria mentioned by the decision-makers into theoretical constructs, while the second objective was intended to establish the relationship between the constructs, creating a conceptual model of buying decision-making for medical devices in reproductive medicine. The third objective was to identify suitable business and marketing strategies for such a decision-making process. Four constructs were evaluated in the pre-purchase phase, namely the brand, the product's performance, the training associated with the product, and the price. In the post-purchase phase, decision-makers evaluated the following constructs: service provided by the company, the relationship with the salesperson, and loyalty. Regarding marketing strategies, market-orientation strategy, relationship-marketing strategy, and brand-equity strategy were identified as possible strategies.


Symmetry ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1062 ◽  
Author(s):  
Stefan Jovčić ◽  
Vladimir Simić ◽  
Petr Průša ◽  
Momčilo Dobrodolac

Companies can perform their freight distribution in three different ways. The first concept, the in-house concept, represents the use of a company’s own resources and knowledge to organize transportation from the production to retailers or from the warehouse to customers. The opposite concept is to outsource distribution activities by hiring third-party logistics providers. The third concept represents a combination of the previous two. Although the arguments in favor of outsourcing can be found in the literature, an appropriate selection of a freight distribution concept is specific for each company and depends on many evaluation criteria and their symmetrical roles. This paper presents a methodology that can be used by companies that need to choose their freight distribution concept. An advanced extension of the Additive Ratio ASsessment (ARAS) method is developed to solve the freight distribution concept selection problem. To illustrate the implementation of the proposed methodology, a tire manufacturing company from the Czech Republic is taken as a case study. However, the proposed picture fuzzy ARAS method is general and can be used by any other company. To validate the novel picture fuzzy ARAS method, a comparative analysis with the nine existing state-of-the-art picture fuzzy multi-criteria decision-making methods is provided.


2020 ◽  
Vol 47 (7) ◽  
pp. 771-789
Author(s):  
Ali Raza Khoso ◽  
Aminah Md Yusof

In construction project management, the contractor plays a primary role. Selection of the contractor is a matter of concern for clients as this is a key player who ensures better performance of a project. This paper structurally investigates the literature from credible databases and renowned journals from 2000 to 2018 in matters related to contractor selection. This investigation sets to accomplish three objectives. Firstly, it includes the identification of criteria and sub-criteria and their organization into a proper classification. Secondly, it highlights the types of decision-making techniques applied in articles published on contractor selection. The third objective covers a detailed investigation of current saturation and gaps of this area of study around the globe. The findings of the research are critically discussed in the light of the literature. As very limited work has been carried out in the area of contractor selection, this paper fills this gap in knowledge in the context of a structured review.


2019 ◽  
Vol 2 (2) ◽  
pp. 67
Author(s):  
Rima Aprilia

<em>As the third largest city in Indonesia, Medan has become one of the cities visited by many tourists, so many hotels have sprung up, from just guest houses to star hotels with various facilities provided. In the selection of hotels to stay, Fuzzy Multiple Attribute Decision Making is expected to provide the best solution in these problems. So that when tourists come to Medan, they can choose the best hotel that suits their needs. The output of this study, the collection of relevant references to the formulation of the problem. The aim is to strengthen the problem and as a theoretical basis for conducting the study and also become the basis for designing decision support systems</em>


2019 ◽  
Vol 16 (4) ◽  
pp. 239-260 ◽  
Author(s):  
Robert L. Winkler ◽  
Yael Grushka-Cockayne ◽  
Kenneth C. Lichtendahl ◽  
Victor Richmond R. Jose

We explore some recent, and not so recent, developments concerning the use of probability forecasts and their combination in decision making. Despite these advances, challenges still exist. We expand on some important challenges influencing the “goodness” of combined probability forecasts such as miscalibration, dependence among forecasters, and selection of an appropriate evaluation measure while connecting the processes of aggregating and evaluating forecasts to decision making. Through three important applications from the domains of meteorology, economics, and political science, we illustrate state-of-the-art usage of probability forecasts: how they are combined, evaluated, and communicated to stakeholders. We expect to see greater use and aggregation of probability forecasts, especially given developments in statistical modeling, machine learning, and expert forecasting; the popularity of forecasting competitions; and the increased reporting of probabilities in the media. Our vision is that increased exposure to and improved visualizations of probability forecasts will enhance the public’s understanding of probabilities and how they can contribute to better decisions.


2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Rima Aprilia

<em>As the third largest city in Indonesia, Medan has become one of the cities visited by many tourists, so many hotels have sprung up, from just guest houses to star hotels with various facilities provided. In the selection of hotels to stay, Fuzzy Multiple Attribute Decision Making is expected to provide the best solution in these problems. So that when tourists come to Medan, they can choose the best hotel that suits their needs. The output of this study, the collection of relevant references to the formulation of the problem. The aim is to strengthen the problem and as a theoretical basis for conducting the study and also become the basis for designing decision support systems</em>


2018 ◽  
Vol 35 (3) ◽  
pp. 596-613 ◽  
Author(s):  
Cecilia Guadalupe Mota-Gutiérrez ◽  
Edgar Omar Reséndiz-Flores ◽  
Yadira Iracema Reyes-Carlos

Purpose The purpose of this paper is to show a bibliographical review of the applications of the MTS throughout the time and the different fields. Design/methodology/approach The Mahalanobis-Taguchi system (MTS) is an analytical method used for the diagnosis and/or pattern recognition of multivariate data for quantitative decision making. Findings Its scope is very broad, ranging from engineering, medicine, education, and manufacturing, among others. This work presents a classification of the literature in the following areas of the MTS: introduction of the method, cases of study/application, comparison with other methods, integration and development of the MTS with other methods, construction of Mahalanobis space, dimensional reduction and threshold establishment. It realized a wide search of the publications in magazines and congresses. Originality/value This paper is a summary of the main applications, contributions and changes to MTS.


Author(s):  
Phil McCash ◽  
Tristram Hooley ◽  
Peter J. Robertson

This chapter introduces readers to The Oxford Handbook of Career Development and to the field of career development. The origins of the field are discussed in relation to vocational guidance, differential psychology, interactionist sociology, and life course development. The selection of the term career development for this volume is explained with regard to three interlocking themes: the broader contexts of career development, including government policy; the wide range of theory concerned with career-related experiences, phenomena, and behaviour; and the broad spectrum of career helping practices, including one-to-one work and group work. The inspiration and aims for the volume are set out, and the challenges associated with terminology in the field are acknowledged. The editors seek to provide a state-of-the-art reference point for the field of career development, and engender a transdisciplinary and international dialogue that explores key current ideas, debates, and controversies. The volume is divided into three sections. The first explores the economic, educational, and public policy contexts for practice. The second section focuses on concepts and explores the rich theoretical landscape of the field. The third section turns to practice, and the translation of ideas into action to support individuals and groups with their career development.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amitkumar Patil ◽  
Gunjan Soni ◽  
Anuj Prakash ◽  
Kritika Karwasra

PurposeIn today's competitive industries, the selection of best suitable maintenance strategy is dependent on large number of quantitative and qualitative factors, and it becomes an extensively difficult problem for maintenance engineers. Over the years, a diverse range of solution methodologies have been developed for solving this multi-criteria decision-making (MCDM) problem. In this paper, the authors have presented a comprehensive review of latest maintenance strategy paradigms and solution approaches proposed for the selection of an appropriate strategy in various industries. It would provide a systematic mapping of developments in this field and identify some research gaps to explore further studies.Design/methodology/approachA systematic state-of-the-art comprehensive literature review on maintenance strategy paradigms and selection approaches is presented in this study. In this study, 87 research articles published in peer-reviewed journals, since year 2012, are reviewed.FindingsFor the selection of a suitable maintenance strategy, a variety of criteria are considered to better evaluate the alternatives. In this study, contemporary strategies are discussed, and their applications in different industries are also depicted. Moreover, through the analysis of extant literature, critical criteria are selected and classified in six major categories (namely, economic, technical, safety, environmental, feasibility and social) and further sub-categorized in quantitative and qualitative classes. These clusters of criteria can be helpful as an initial set of criteria for survey and then case- or industry-specific criteria can be shortlisted for further alternative evaluation.Practical implicationsFrom the perspective of maintenance managers, maintenance management can be a very difficult task, considering the numerous factors affecting the decision-making process. In order to help in the decision-making process, this study presents the contemporary maintenance strategies in a systematic manner. In a previous study (Kothamasu et al., 2006), these strategies were classified into repair and prevent classes only. With the developments of autonomous maintenance and design out maintenance (DOM), it was fair to include continuous improvement class. It will help managers and practitioners to identify, according to organization policy, appropriate maintenance strategy alternatives for the asset. A benchmark set of state-of-the-art maintenance strategies are laid out with their applications. The industrial case studies discussed in this study summarizes the optimal maintenance strategies for respective industries. Also, most critical criteria are identified from the existing studies for various industries that can help maintenance practitioners in acknowledging the critical factors and making appropriate decisions. Evaluation parameters for the maintenance strategy selection (MSS) generally conflict with each other, and considering the difficulty of quantifying the qualitative measures, it is a challenging task to determine the optimal trade-off. In order to overcome these challenges, popular MCDM approaches, demonstrating effective results across different industries are discussed with their limitations and applications. Decision-makers can refer this study to identify best suitable decision-making technique for the MSS problem in the industry of their choice. Maintenance managers and engineers can refer the case studies illustrated in Tables 1 and 2 to analyse the MSS techniques proposed by previous studies with industry-specific applications.Social implicationsThis study is an attempt to provide a reference point for research scholars interested in the field of maintenance management and/or development of maintenance strategy framework. This study provides a critical state-of-the-art review of efforts made in the field of MSS. The prominent maintenance strategies being implemented in contemporary industries are discussed with respective case studies. Interested researchers and academicians can familiarize themselves with these strategies and their distinct features in this study. In order to guide future studies and provide a reference point for academicians, MSS critical criteria used in extant literature are identified and classified into a comprehensive benchmark framework. Moreover, the industrial case studies are discussed with the most critical criteria of MSS for different industries and which strategy is most suitable for the respective industries based on these criteria. Table 1 presents different MCDM techniques and their hybrid applications for solving MSS problem that can help researchers in identifying research gaps. Future research can be directed at addressing the limitation of MCDM approach employed in existing studies and comparing the differences in results obtained by the proposed approach. Different industrial case studies with considered maintenance strategy alternatives are presented in Table 2, which can help researchers in identifying the industries that have not been studied yet. Moreover, not all of the existing studies are carried out by considering all the presented benchmark strategies, which can be addressed in future studies by interested researchers. More detailed discussion on research gaps is presented in the following section.Originality/valueFrom the analysis of the extant literature, the authors could observe that the decision-making process adopted in numerous studies was limited to the classical maintenance strategies and not inclusive of aggressive maintenance strategy alternatives. To overcome these limitations and help maintenance managers in the decision-making, this study depicts the contemporary maintenance strategies, critical evaluation criteria and MCDM frameworks (employed to solve the MSS problem with industrial case studies) in a structured manner.


2019 ◽  
Author(s):  
Suci Handayani Handayani ◽  
Hade Afriansyah

Decision making can be considered as a result or output of a mental or cognitive process that leads to the selection of an action path between several available alternatives. Every decision making process always produces one final choice. Decisions are made to achieve goals through implementation or action. In the decision-making process there are several steps including understanding and formulating problems, collecting and analyzing relevant data, developing alternatives, evaluating alternatives, choosing the best alternatives, implementing decisions and evaluating the results of the decision. The purpose of decision making is to solve the problem. Decision-making activities in principle include at least four activities, the first activity is intelligence activities namely observing the environment for the sake of making decisions, into two design activities, namely finding, developing and analyzing various possibility of actions in the framework of making decisions, the third is selection activities or activities to select or determine certain actions from various alternative actions that can be taken and reviewed the review activities, namely actions that Once selected, it is then carried out and evaluated.


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