Fuzzy Economic Review最新文献

{"title":"The permanence of the client under uncertain estimations","authors":"Ana María Gil Lafuente, Mauricio Ortigosa Hernández","doi":"10.25102/FER.2013.02.04","DOIUrl":"https://doi.org/10.25102/FER.2013.02.04","url":null,"abstract":"Marketing has studied the permanence of a client within an enterprise because it is a key element in the study of the value (economic) of the client (CLV). The research that they have developed is based in deterministic or random models, which allowed estimating the permanence of the client, and the CLV. However, when it is not possible to apply these schemes for not having the panel data that this model requires, the period of time of a client with the enterprise is uncertain data. We consider that the value of the current work is to have an alternative way to estimate the period of time with subjective information proper of the theory of uncertainty. To achieve the above we propose, through a numerical example, a methodology that uses in its first phase the Fuzzy-Delphi method, with a group of experts, to accomplish an estimation of the lifetime period of the client within an enterprise, expressed as a trapezoidal fuzzy number, and to get a better consensus of the previous result, as a second phase, we submit such information to another group, different from the previous ones, obtaining a reduction of the size of the interval defined by the initial trapezoidal fuzzy number.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"18 1","pages":"45-62"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69291520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Financial responsibility. A temporal risk","authors":"D. Hornero","doi":"10.25102/FER.2013.01.03","DOIUrl":"https://doi.org/10.25102/FER.2013.01.03","url":null,"abstract":"In Finance, when the context is particularly complex responsibility can be “invisible” from the perspective afforded by time. Hence, temporal risk can usefully be analyzed through the Greek concepts of time: Chronos (god of duration and sequential time), Kairos (god of opportunity and the moment of time) and Aeon (god of eternity and long-term time).","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"18 1","pages":"29-36"},"PeriodicalIF":0.0,"publicationDate":"2013-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69291193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Particle swarm optimization an alternative for parameter estimation in regression","authors":"S. De-Los-Cobos-Silva, A. Terceño-Gómez, M. Gutiérrez-Ándrade, E. Rincón-García, Pedro Lara-Velázquez, M. Aguilar-Cornejo","doi":"10.25102/FER.2013.02.02","DOIUrl":"https://doi.org/10.25102/FER.2013.02.02","url":null,"abstract":"The practice of applying curve fitting techniques to describe data is widespread in many fields: in biology, in medicine, in engineer, in economy, etc. This paper presents a heuristic technique named Particle Swarm Optimization to be used for parameter estimation in regression models. The algorithm was tested on 27 databases for nonlinear models and 11 for linear models by collection NIST (2001), which are considered with different degrees of difficulty. We present experimental results","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"18 1","pages":"19-32"},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69291512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A GENERALIZED MODEL OF JUDGMENT AND PREFERENCE AGGREGATION","authors":"Ismat Beg, T. Rashid","doi":"10.25102/FER.2013.01.02","DOIUrl":"https://doi.org/10.25102/FER.2013.01.02","url":null,"abstract":"Some basic notions of fuzzy logic for trapezoidal fuzzy numbers are extended. Purpose of these extensions is to give a generalized model of judgment and preference aggregation by using trapezoidal fuzzy numbers. Examples are given to illustrate the proposed technique to optimize the problem by avoiding paradoxical outcomes without the fear of indecision.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"39 1","pages":"9-27"},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69291073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AN ASSESSMENT OF ABNORMAL RETURNS AND RISK IN SOCIALLY RESPONSIBLE FIRMS USING FUZZY ALPHA JENSEN AND FUZZY BETA","authors":"Klender Cortez Alejandro, Martha del Pilar Rodríguez García, Berenice Méndez Sáenz","doi":"10.25102/FER.2013.01.04","DOIUrl":"https://doi.org/10.25102/FER.2013.01.04","url":null,"abstract":"This study analyzes the differences in financial performance and risk between sustainable firms and non-sustainable firms through the use of a fuzzy Jensen’s alpha and a fuzzy beta to measure abnormal returns and systematic risk, respectively. The sample consisted of 644 firms from OECD countries: Australia, Denmark, Spain, US, Finland, UK, Japan, Mexico, Norway, Sweden and Switzerland from 2008 to 2011. We compared two different methodologies to measure the Jensen’s alpha and the beta, namely, ordinary least squares and Fuzzy Regression. Considering the sample, our results demonstrate that there is no difference between sustainable firms and not sustainable firms in the possibility of obtaining abnormal returns and risk. However, we found evidence that sustainable firms have more possibilities of obtain abnormal return than non sustainable firms in the case of United States and Norway. On the other hand, the results suggest that sustainable firms have less risk than no sustainable firms in Spain and Australia. Finally, we mention the Corporate Social Responsibility (CSR) trends in the world capital market to emphasize the importance of the disclosure of nonfinancial issues as a part of the process of generating long-term sustainability profits and lower risk.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"18 1","pages":"37-59"},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69291204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Causal structures in economics: fuzzyness and supervenience as ontological problems","authors":"P. S. García","doi":"10.25102/FER.2013.01.01","DOIUrl":"https://doi.org/10.25102/FER.2013.01.01","url":null,"abstract":"In his article \"The Causal Structure of the World\" (2010), Wesley Salmon observes that the work contained in the Reichenbach´s famous paper of 1925 broke the grund for a development that flourishes today. Reichenbach´s main concerns in \"The Causal Structure of the World and the Difference Between Past and Future\" (1925) centered on causal determinism, i.e., the thesis famously articulated by Laplace that throughout the history of the universe what happens in the future is rigidly determined by what has happened in the past. But Reichenbach desagreed with Laplace: he believed that, at any given moment, the past is completely determined but the future remains, at least partially, undetermined. This distinction could be drawn in terms of certain probabilistic structures, and this oppinion led him to formulate a theory of probabilistic causality. Considering the probabilistic approach to knowledge in Economics, Kevin Hoover (2001) sustains the thesis according to which the literature on causality has been shaped by causal intuitions that suggest the existence of causal structures, revealed in the way things work. Both authors appeal, as we can see, to the structural configuration of reality. Both of them refuse to accept a rigid causal determinism and, in doing so, they set the conditions to discuss many ontological consequences of the undeterministic point of view, like ontological fuzzyness and the necessity of supervenience to explain the way undeterministic causality works.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"18 1","pages":"3-8"},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69291066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MODELING QUEUEING SYSTEMS USING FUZZY ESTIMATORS","authors":"G. Botzoris, B. Papadopoulos, D. S. Sfiris","doi":"10.25102/fer.2013.02.01","DOIUrl":"https://doi.org/10.25102/fer.2013.02.01","url":null,"abstract":"Queuing modeling is the mathematical approach for the analysis of waiting lines. The central problem in every queueing model is a trade-off decision: The manager must weigh the added cost of providing more rapid service against the inherent cost of waiting. In this paper, a new fuzzy approach to queueing modeling is presented in order to eliminate the disadvantages of point estimation and the relevant paradoxes when calculating the efficiency of a queue, in the case of unreliable data available. Both Poisson arrival rate and exponential service time are considered by using fuzzy estimators. The introduction of fuzzy estimators in performance measures of M/M/S queueing systems is presented to address the central estimation issue under uncertainty.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"18 1","pages":"3-17"},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69291509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Moore's Closure for Analyzing Relationships between Agents in Industrial Clusters","authors":"Antoni Vidal-Suñé, Albert Fonts-Ribas","doi":"10.25102/FER.2012.02.02","DOIUrl":"https://doi.org/10.25102/FER.2012.02.02","url":null,"abstract":"Industrial clusters try to exploit the effect of external economies and joint actions that come from the collaboration between their agents. But in order that these effects arise it is needed close cooperation partnerships between the agents in the industrial cluster, which could improve competitiveness. It's obvious, therefore, that analyzing which are the relationships between the agents in the industrial cluster is critical to make strategic decisions that promote and improve the competitiveness of the industrial cluster. This paper proposes a methodology based on obtaining a fuzzy relation from which, applying Moore's closure in an uncertain situation, we can identify subrelations that group industrial cluster agents depending on their degree of affinity based on the intensity of their relationships.Keywords: affinity, moore's closure, fuzzy relations, industrial clusterJEL Classification: C69, L14(ProQuest: ... denotes formulae omitted.)1. INTRODUCTION: INDUSTRIAL CLUSTER CONCEPTThe emergence of a flexible specialization production model has brought industrial dispersal or diffuse industrialization strategies, based on decentralized production models characterized by the concentration of companies in an industry in a environment geographically delimited, to acquire an increasing role, increasingly more intensely [3]. The different currents of thought that have analyzed this phenomenon have called it using different names (industrial districts, innovative environments, local production systems, etc.), but, nowadays, [20] proposal of industrial cluster has become the most used to refer to groups of companies in the same sector located in the same geographic area to share resources and capabilities and increase their competitiveness, both individually and globally.Industrial clusters allow companies to improve their competitiveness because they take advantage of agglomeration economies, obtaining benefit from their proximity, from the existence of certain infrastructure and equipment in the territory, from diversified customer markets and labour markets, from a better access to information and knowledge, and from a social, cultural and institutional environment focused on the development of the main industrial cluster activity. Within the industrial cluster appear productive relations of cooperation of a certain intensity and consistency, based on the complementarity of the different production processes carried out by various companies in the same sector. When we analyze industrial clusters in a dynamic perspective we can see how their performance is a result of the integration of multiple different actions where many actors are involved, both individually and collectively [1]. The fact that this integration requires physical proximity relations, involves the configuration of unique spatial units in production, social, cultural, technological, political and institutional terms [15]. In that sense, [20] introduces the concept of industrial clus","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"17 1","pages":"23-42"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69290870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"OPTIMAL USE OF CELLPHONE FREQUENCIES WITH ROBUST GRAPH COLORING","authors":"Pedro Lara-Velázquez, L. Gallardo-López, S. De-Los-Cobos-Silva, M. Gutiérrez-Ándrade, E. Rincón-García","doi":"10.25102/FER.2012.02.04","DOIUrl":"https://doi.org/10.25102/FER.2012.02.04","url":null,"abstract":"The Robust Coloring Problem (RCP) is an NP-Hard problem for which had been developed many applications. In this work a Model based in Robust Coloring Problem is developed for the frequency assignment in cellphones that increases 25% the capacity installed nowadays. The model is tested with lifelike instances and is shown that solves efficiently the problem in less than a second.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"17 1","pages":"59-68"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69290996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"FUZZY SETS APPLICATION TO HEALTHCARE SYSTEMS","authors":"L. L. Lazzari, Patricia Inés Mouliá","doi":"10.25102/FER.2012.02.03","DOIUrl":"https://doi.org/10.25102/FER.2012.02.03","url":null,"abstract":"The fuzzy set concept was introduced by Lotfi A. Zadeh in 1965 to provide a tool to describe vague predicates or classes with imprecise boundaries and which enable an uncertainty nonadditive calculation, based on soft operators. Zadeh recognises that conventional quantitative techniques of systems analysis are intrinsically inappropriate to address humanistic systems. The medical field is appropriate to apply the fuzzy set theory, as vague predicates and subjectivity are an important part of it. In this paper, the fuzzy set concept is used to provide a more flexible definition of certain parameters which state an individual’s health condition, and which will allow to formulate a diagnosis model for the risk of suffering a certain disease, and it is characterized as a case of cardiovascular risk. This model is applied to the development of an expansion strategy for a private health insurance company, which considers sustainability of the healthcare system.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"17 1","pages":"43-58"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69290921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}