{"title":"Sustainable social environment: fuzzy assessment and forecasting","authors":"N. A. Abdullayeva","doi":"10.25102/FER.2011.02.02","DOIUrl":"https://doi.org/10.25102/FER.2011.02.02","url":null,"abstract":"This paper will present fuzzy approach to assess and forecast the sustainability of social environment based on context-dependent economic, societal, political, spiritual and ecological development indicators. Fuzzy methods are applied on the basis of new database of the indicators taken from different sources, allowing to reflect not only a statics, but also dynamics of development. In the future, practical implement-tation of such models will be based on elicitation of expert knowledge to construct a fuzzy transition matrix. Fuzzy models developed in this paper provide a novel approach to support decision-making regarding sustainability of social environment.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"16 1","pages":"21-32"},"PeriodicalIF":0.0,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69289670","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 FORGOTTEN EFFECTS MODEL IN A CRM STRATEGY","authors":"","doi":"10.25102/FER.2011.01.01","DOIUrl":"https://doi.org/10.25102/FER.2011.01.01","url":null,"abstract":"Caring and retaining the customers is now days a fundamental business strategy for the organizations, to confront the market pressures and the competitors’ innovations. Companies have done investments worth millions in customer service, market research, customized support and others. However, it still exists an important gap between the investment and the profit. In many cases recurrent claims are still present, and customer perception of services is not aligned with the business expectations about relationship management efforts. Faced with this apparent dissociation, it stands to reason that companies may be failing to take into account important aspects in their customer relationships, or may not be taking into account attributes that customers value when they want to be treated with a product or service. The purpose of this study is to explore through the Forgotten Effects Model, and reveal hidden attributes that customers value about a product or service in respect of the business objectives. The conclusion of the paper will show how some fundamental aspects of the dimensions of quality of service may be being overlooked.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"717 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":"69288887","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 Attractiveness of Countries for FDI. A Fuzzy Approach","authors":"M. Murat, T. Pirotti","doi":"10.25102/FER.2010.02.04","DOIUrl":"https://doi.org/10.25102/FER.2010.02.04","url":null,"abstract":"This paper presents a new method for measuring the attractiveness of countries for FDI. A ranking is built using a fuzzy expert system whereby the function producing the final evaluation is not necessarily linear and the weights of the variables, usually defined numerically, are replaced by linguistic rules. More precisely, weights derive from expert opinions and from econometric tests on the determinants of countries’ FDI. As a second step, the view-point of investors from two different investing economies, the UK and Italy, are taken into account. Country-specific factors, such as the geographic, cultural and institutional distances existing between the investing and the partner economies are included in the analysis. This shows how the base ranking changes with the investor’s perspective.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"15 1","pages":"43-61"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69288846","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":"Bankruptcy Prediction In Transformational Economy: Discriminant And Fuzzy Logic Approaches","authors":"A. Matviychuk","doi":"10.25102/FER.2010.01.02","DOIUrl":"https://doi.org/10.25102/FER.2010.01.02","url":null,"abstract":"The methodological approach on carrying out of complex analysis of enterprise's financial state with use of fuzzy logic methods has been developed and on this basis the economic and mathematical models of enterprise's bankruptcy diagnosis have been constructed. The input factors of these models are sets of independent variables and most informative indices. The model of diagnosing of enterprise's bankruptcy on the basis of discriminant analysis method has also been constructed. The analysis of carried out experiments verified the essential inconsistency of existing discriminant models to Ukrainian economy and shown the high precision of forecasting of Ukrainian companies bankruptcy with usage of developed by author models.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"15 1","pages":"21-38"},"PeriodicalIF":0.0,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69288361","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}
Eric Alfredo Rincón García, M. A. G. Andrade, J. R. Rodríguez, P. L. Velázquez, S. De-Los-Cobos-Silva
{"title":"Applying simulated annealing to design compact zones","authors":"Eric Alfredo Rincón García, M. A. G. Andrade, J. R. Rodríguez, P. L. Velázquez, S. De-Los-Cobos-Silva","doi":"10.25102/FER.2010.02.02","DOIUrl":"https://doi.org/10.25102/FER.2010.02.02","url":null,"abstract":"Compactness is an important principle in redistricting process, and there are different measures to quantify this property in electoral zones. However, these measures are unsatisfactory, since they can be unable to favor the design of compact zones in enough complicated problems. In this paper, we propose that a compactness measure may be unable to promote the design of compact zones without an appropriate algorithm used to explore the solution space. Thus, we design two different heuristic algorithms based on simulated annealing, that use the same compactness measure. They were applied in Baja California, Mexico, which topographical settings cause some traditional compactness measures to give very poor quality results. The differences between the solutions show that the design of compact zones requires not only a compactness measure but also an appropriate algorithm.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"15 1","pages":"11-24"},"PeriodicalIF":0.0,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69288608","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":"Algorithms applied in the sustainable management of human resources","authors":"A. M. G. Lafuente, L. B. Paula","doi":"10.25102/FER.2010.01.03","DOIUrl":"https://doi.org/10.25102/FER.2010.01.03","url":null,"abstract":"In recent years, we have witnessed progressive changes in economic, social and environmental issues that affect businesses and their environment. At the same time, issues such as development, economic progress, sustainability and corporate responsibility are becoming increasingly important in economic and financial processes when making decisions. In a competitive and volatile business environment, uncertainty is generated in the course of the sound management of human resources. Based on stakeholder theory, we analyse corporate sustainability by proposing the use of algorithms that support entrepreneurs in the sustainable management of human resources, focusing specifically on the adequacy of labour practices according to the future ISO 26000 standards. The objective is to obtain a level of consensus between the company and its stakeholders on this specific topic, using different methods of fuzzy logic, such as Hamming Distance, the Adequacy Ratio and OWA Operators. To conclude our study, we present the contributions of our research and the results of applying different algorithms.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"15 1","pages":"39-51"},"PeriodicalIF":0.0,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69288399","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":"Uncertain induced generalized aggregation operators and its application in the theory of expertons","authors":"J. Merigó, A. M. G. Lafuente, Luciano Barcellos","doi":"10.25102/FER.2010.02.03","DOIUrl":"https://doi.org/10.25102/FER.2010.02.03","url":null,"abstract":"We present a new approach that unifies the induced generalized ordered weighted averaging (IGOWA) operator with the weighted average (WA) when the available information is uncertain and can be assessed with interval numbers. We call it the uncertain induced generalized ordered weighted averaging – weighted averaging (UIGOWAWA) operator. The main advantage of this approach is that it unifies the IOWA and the WA taking into account the degree of importance of each case in the formulation and considering that the information is given with interval numbers. We also study different properties of the UIGOWAWA operator and different particular cases. We also analyze the applicability of the new approach and we see that it is possible to develop a wide range of applications because all the previous studies that use the WA can be revised and extended with this new approach. We focus on an application in decision making with the theory of expertons. Thus, we are able to assess group decision making problems in a more complete way.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"15 1","pages":"25-42"},"PeriodicalIF":0.0,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69288835","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":"Relationship between the allocated fuzzy cost and DEA efficiency","authors":"R. Shahverdi, F. R. Balf, P. Nasrollahian","doi":"10.25102/FER.2010.02.01","DOIUrl":"https://doi.org/10.25102/FER.2010.02.01","url":null,"abstract":"In this paper we propose an approach for compute performance of a decision making unit (DMU) in allocation fuzzy cost. If cost is not precisely defined, so we could consider it as fuzzy number, and if each DMU has other cost inputs then fuzzy cost must be combine with other cost measures. Based on this observation, this paper investigated about relationship between allocated fuzzy cost and efficiency in DEA. To illustrate the method, numerical results for an example from the literature are presented.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"15 1","pages":"3-10"},"PeriodicalIF":0.0,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69288565","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":"Evaluation Of Business Scenarios By Means Of Composite Indicators","authors":"Carlos Castillo, T. Lorenzana","doi":"10.25102/FER.2010.01.01","DOIUrl":"https://doi.org/10.25102/FER.2010.01.01","url":null,"abstract":"Assessing business scenarios with composite indicators allows the combination of both quantitative and qualitative performance measures (PM). This paper presents a methodology for constructing composite indicators by aggregating multiple PMs to diagnose business performance. Assuming that measures are expressed in heterogeneous units, these must be normalized in scales with a common base in order to aggregate and combine data. This is achieved by modelling the opinions of experts using the linguistic approach of the Fuzzy Sets Theory. In this way we obtain the sub-indicators representing the excellence of each PM, quantified in a common scale. These sub-indicators provide the basis for the construction of a composite indicator whose value is determined by means of a fuzzy-rule-based system. This aggregation procedure avoids compensation among sub-indicators and the possible redundancy of the information they contain.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"15 1","pages":"3-20"},"PeriodicalIF":0.0,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69288358","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":"Return risk map in a fuzzy environment","authors":"J. M. Brotons, A. T. Gómez","doi":"10.25102/FER.2011.02.03","DOIUrl":"https://doi.org/10.25102/FER.2011.02.03","url":null,"abstract":"Within the framework of Assets Liability Management, we understand that immunization is the main method to assure a certain yield in a future date departing from an initial portfolio. Although the objective of passive strategies is to design a portfolio that will achieve the performance of a predetermined benchmark, active bond management strategies rely on expectations of interest rate movements or changes in yield-spread relationships. However, the variation of the duration increases the risk of a portfolio, that why the decision maker will have to choose the combination of expected return (mid-point of the fuzzy number) and risk (width of the fuzzy number) which provides the higher utility. Finally, the construction of a fuzzy return risk map will allow the DM to know the over risk and the over return as regards immunization strategy for each duration and for each risk aversion of the DM. The construction of a risk return map presents the results in an appropriate way. This methodology will help the DM to choose the best duration for the DM interest rate forecast","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"16 1","pages":"33-57"},"PeriodicalIF":0.0,"publicationDate":"2009-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69289296","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}