{"title":"VARIABLE POPULATION MOPSO APPLIED TO MEDICAL VISITS","authors":"Javier H. López, L. Lanzarini, A. F. Bariviera","doi":"10.25102/FER.2012.01.01","DOIUrl":"https://doi.org/10.25102/FER.2012.01.01","url":null,"abstract":"Multi-objective optimization techniques are the ideal support tools for the decision-making process. They provide a set of optimal solutions for each of the significant aspects of the problem, thus summarizing the alternatives to be considered. Having a limited number of alternatives makes it easier for decision makers to perform their tasks, since they can focus their efforts towards the analysis of the available options. In this paper, the main characteristics of multi-objective optimization are summarized, and a real experience is described regarding the optimization of mobile units assignment at a health care company in Argentina using a new method based on swarm intelligence called varMOPSO.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"17 1","pages":"3-14"},"PeriodicalIF":0.0,"publicationDate":"2012-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69290302","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}
M. T. S. Forradellas, M. Barberà-Mariné, A. F. Bariviera, María-José Garbajosa-Cabello
{"title":"ADVANTAGES OF USING SELF-ORGANIZING MAPS TO ANALYSE STUDENT EVALUATIONS OF TEACHING","authors":"M. T. S. Forradellas, M. Barberà-Mariné, A. F. Bariviera, María-José Garbajosa-Cabello","doi":"10.25102/FER.2012.01.03","DOIUrl":"https://doi.org/10.25102/FER.2012.01.03","url":null,"abstract":"Surveys to evaluate teaching performance are one of the most widely used instruments for assessing teaching capabilities and, consequently, the quality of teaching. Their success is largely due to how they are designed and the way in which they process information. The aim of this paper is to simplify the design of the student evaluations by removing the most correlated items, and to propose that Kohonen's self-organizing Kohonen maps be used to group teachers in accordance with all the characteristics surveyed. The methodology is applied to the particular case of the Rovira i Virgili University.Keywords: surveys to evaluate teaching performance, higher education, kohonen's selforganizing mapsJEL Classification: I21, I23, C45(ProQuest: ... denotes formulae omitted.)1. INTRODUCTIONSurveys to evaluate teaching performance were first used in America in the 1920s. One of the first publications based on the results of these surveys can be found in Remmers and Brandenburg (1927). They have subsequently been used in most universities in the world. Kulik (2001) notes that in 1973, 29% of American universities used student evaluations as a tool to assess teaching, while in 1993, they were used in 86%.Student evaluations have two types of users: teachers and educational institutions. In this respect, Catano and Harvey (2011) point out that surveys are often used to provide remunerative supplements, to decide on continuity of teachers and to support faculty promotion decisions.Theall and Franklin (2001) state that teaching staffare extremely sensitive to this issue. Some teachers, especially new ones, consider evaluations to be positive as they help improve the effectiveness of teaching. Kulik (2001), however, notes that some teachers are reluctant because they fear that students can turn them into a sort of personality contest.Student evaluations can also be understood as a form of accountability to society on the efficiency and effectiveness of teaching conducted by a university.Among the existing literature, Arthur (2009) has studied the validity of using the views of students as a means of evaluating the performance of a teacher. Other studies analyze the factors that affect the evaluation. For example, Remedios and Lieberman (2007) studied the impact on outcomes of qualifications and workload during the course, and Griffin (2004) studied the effect of gender.Although the content of evaluations is open to criticism and some items are of questionable relevance, Penny (2003) argues that universities continue to use them as a central element in assessing the effectiveness of teaching. It is therefore important that results be interpreted correctly.This study has two objectives: first, to consider whether student evaluations of teaching can be simplified by reducing the number of items; and, second, to examine whether overall evaluations take into account all those aspects of teaching that need to be measured.Although this study has been carried out in the ","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"17 1","pages":"53-72"},"PeriodicalIF":0.0,"publicationDate":"2012-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69291098","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":"SOFT COMPUTING IN ANALYTICS: HANDLING IMPRECISION AND UNCERTAINTY IN STRATEGIC DECISIONS","authors":"C. Carlsson","doi":"10.25102/FER.2012.02.01","DOIUrl":"https://doi.org/10.25102/FER.2012.02.01","url":null,"abstract":"Analytics has a similar agenda as management science and is working with the same industrial and business context to support managerial planning, problem solving and decision making. Analytics has a broader scope in terms of methods – besides models and algorithms it also works with statistical methods and advanced technology for handling data, information and knowledge. Soft Computing builds on fuzzy sets theory, fuzzy logic, optimisation, neural nets, evolutionary algorithms, macro heuristics and approximate reasoning. Soft Computing is is focused on the design of intelligent systems to process uncertain, imprecise and incomplete information. Soft Computing methods applied to real-world problems offer more robust, tractable and less costly solutions than those obtained by more conventional mathematical techniques.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"17 1","pages":"3-21"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69290850","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":"SAVAGE AXIOMS, ELLSBERG’S PARADOX AND FUZZY OPTIMAL DECISION-CHOICE RATIONALITY","authors":"K. K. Dompere","doi":"10.25102/FER.2012.01.02","DOIUrl":"https://doi.org/10.25102/FER.2012.01.02","url":null,"abstract":"This essay is devoted to epistemics of Savage axioms and Ellsberg’s paradox in decision-choice actions in relation to fuzzy optimal decision-choice rationality in the space of uncertainties. The uncertainty space is partitioned into non-fuzzy stochastic sub-space and fuzzy-stochastic sub-space. The Savage axioms are argued to emerge from the former which is vagueness-free while Ellsberg thought experiment leading to his paradox takes place in the latter that contains vagueness. The explanation of the rise of the paradox is shown to be the result of non-comparable decision-choice sub-spaces in which both of them work. The topologies of the two sub-spaces and the required mathematics and logic are considered in their epistemic forms. Criticisms are offered on some attempts to explain and resolve the paradox. The paradox, it is argued, cannot be logically resolved in the space in which the Savage axioms are created. It can not either be resolved in the fuzzy-stochastic space with classical paradigm under Aristotelian logic where all propositions are either true or false, it is argued. A resolution of the paradox as it is related to probability estimates is offered through fuzzy logic, mathematics and computational methods of optimal fuzzy decision-choice rationality. The essay is concluded with an epistemic reflection.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"61 1","pages":"15-51"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69290591","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":"Analysis of the inconsistency problem in the model for predicting \"diseases\" of firms","authors":"H. Vigier, A. Terceño","doi":"10.25102/FER.2012.01.04","DOIUrl":"https://doi.org/10.25102/FER.2012.01.04","url":null,"abstract":"The development of economic-financial diagnostic models, using fuzzy logic tools, has resulted in important applications. It is possible to identify a matrix of economic-financial knowledge (Matrix R), which simulates the analyst's behaviour evaluating the health of a firm. The proposed models, from a set of symptoms and causes, use a methodology of equations resolution in fuzzy relations. In particular, we have applied their inverse problem. However, it is possible to identify some inconsistencies in the application of the resolution method, which could invalidate several elements of the matrix R. In this paper, we discuss these inconsistencies and propose a method to eliminate them. So we can find a matrix R where all its elements represent the true relationship between symptoms and causes.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"17 1","pages":"73-88"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69290786","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}
Gianna Figá-Talamanca, Maria Letizia Guerra, Luciano Stefanini
{"title":"Fuzzy uncertainty in the heston stochastic volatility model","authors":"Gianna Figá-Talamanca, Maria Letizia Guerra, Luciano Stefanini","doi":"10.25102/FER.2011.02.01","DOIUrl":"https://doi.org/10.25102/FER.2011.02.01","url":null,"abstract":"Stochastic volatility models for option pricing are suitable to explain many empirical stylized facts in financial markets. Among the other models, Heston provides a good analytical tractability because a quasi closed formula for the price of a European call option can be derived. The estimation of the Heston model parameters is nowadays a subject of on-going research; the aim of this paper is to manage uncertainty about parameters through fuzzy logic preserving the probabilistic structure of the Heston model.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"16 1","pages":"3-19"},"PeriodicalIF":0.0,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69289570","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}
A. Bergamascoa, G. Giuntab, D. Marinoc, S. Pandolfod, G. Sindonie
{"title":"Fuzzy impact assessment on the landscape: the kobold platform in the strait of Messina case study","authors":"A. Bergamascoa, G. Giuntab, D. Marinoc, S. Pandolfod, G. Sindonie","doi":"10.25102/FER.2011.01.04","DOIUrl":"https://doi.org/10.25102/FER.2011.01.04","url":null,"abstract":"This paper introduces a new semi-quantitative method to model a landscape assessment, by using a fuzzy analysis approach. The main aim of this research is to evaluate the landscape impact of the Kobold prototype in the Straits of Messina. The Kobold turbine, patented in 1998, is a prototype used to extract energy from the marine currents utilizing a vertical axis turbine. The site where the plant is positioned is very close to Ganzirri (Italy), on the Straits of Messina, near the Sicilian coast, at a distance of about 150 – 200 m from the shore. The results allow us to state that the measure of the impact landscape has been a huge success. In fact, the fuzzy variable representing the impact is 98% below the tolerance threshold.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"16 1","pages":"67-79"},"PeriodicalIF":0.0,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69288776","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":"Valuation Of Industrial Giga-Investments: Theory And Practice","authors":"M. Collan","doi":"10.25102/FER.2011.01.02","DOIUrl":"https://doi.org/10.25102/FER.2011.01.02","url":null,"abstract":"Industrial giga-investments are long term irreversible very large, hundred million-class, industrial real investments that have a long building time. These investments are important to the companies undertaking them and to the economy as a whole. Giga-investments can sometimes even steer their markets. Giga-investments are different from financial and small real investments in many respects, but are often analysed and valued by using the same methods; this is most often not realistic and does not offer best possible decision support. In this paper we discuss and present industrial giga-investments. We discuss their special characteristics that require attention, when their profitability and value are analyzed. An industrial giga-investment case is presented and a numerical illustration of how industrial giga-investments can be valued with the pay-off method is presented.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"21 1","pages":"21-37"},"PeriodicalIF":0.0,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69288898","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":"ARITHMETIC OPERATIONS ON INTERACTIVE FUZZY NUMBERS IN FINANCIAL ANALYSIS","authors":"Bogdan Rebiasz","doi":"10.25102/FER.2011.01.03","DOIUrl":"https://doi.org/10.25102/FER.2011.01.03","url":null,"abstract":"This article presents the generalization of Zadeh’s extension principle for arithmetic operations on interactive fuzzy variables. Typical kinds of interactivity between financial analyses parameters in industrial enterprises are discussed later. These interactions make use of nonlinear programming methods necessary to calculate the values of selected financial indices expressed by the fuzzy numbers. The article presents the problem of nonlinear programming applied to calculating the values of these indices. Application of the fuzzy model simulation method is also proposed for executing the arithmetic operations on interactive fuzzy numbers. Also, an example of calculating the gross profit for two metallurgical companies is shown.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"41 1","pages":"39-65"},"PeriodicalIF":0.0,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69289061","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":"Pricing Brazilian exchange rate options using an adaptive network-based fuzzy inference system","authors":"Leandro Maciel","doi":"10.25102/FER.2011.02.04","DOIUrl":"https://doi.org/10.25102/FER.2011.02.04","url":null,"abstract":"Recently, option pricing has become the focus of risk managers, policymakers, traders and more generally all market participants, since they find valuable information in these contracts. This paper suggests the pricing performance evaluation on Brazilian exchange rate R$ (Reais) per US$ (U.S. Dollar) option contracts, traded at the Brazilian derivatives market, using an adaptive network-based fuzzy inference system, for the period from April 1999 to April 2009. A fuzzy rule-based system was built with a family of conditional if-then statements whose consequent are functions of the antecedents, and then composed with the aid of fuzzy neurons. The ANFIS model was compared against the Black closed-form formula and some neural networks topologies, considering traditional error measures and statistical tests. The results showed that the ANFIS model outperforms closed-form formula methodology in pricing Brazilian currency options, mainly for out-of-the money contracts.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"16 1","pages":"59-73"},"PeriodicalIF":0.0,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69289364","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}