Fuzzy Economic Review最新文献

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Prioritized induced probabilistic distances in transparency and access to information laws 优先诱导概率距离在透明度和获取信息的法律
Fuzzy Economic Review Pub Date : 2017-01-01 DOI: 10.25102/FER.2017.01.04
Ezequiel Avilés-Ochoa, L. A. Pérez-Arellano, Ernesto León-Castro, J. Merigó
{"title":"Prioritized induced probabilistic distances in transparency and access to information laws","authors":"Ezequiel Avilés-Ochoa, L. A. Pérez-Arellano, Ernesto León-Castro, J. Merigó","doi":"10.25102/FER.2017.01.04","DOIUrl":"https://doi.org/10.25102/FER.2017.01.04","url":null,"abstract":"In this paper, a new extension of the ordered weighted average (OWA) operator is developed using four different methods: prioritized operators, induced operators, probabilistic operators and distance techniques. This new operator is called the prioritized induced probabilistic ordered weighted average distance (PIPOWAD) operator. The primary advantage is that we include in one formulation different characteristics and information provided by a group of decision makers to compare actual and ideal situations. Finally, an example of transparency and access to information law in Mexico is presented to forecast the score based on the expectations of decision makers.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"16 1","pages":"45-55"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69293276","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}
引用次数: 7
A Fuzzy Model for the Quantification of Cost of Quality based on the Aggregation of Information 基于信息聚合的质量成本模糊量化模型
Fuzzy Economic Review Pub Date : 2017-01-01 DOI: 10.25102/FER.2017.01.03
J. M. Brotons, M. E. Sansalvador
{"title":"A Fuzzy Model for the Quantification of Cost of Quality based on the Aggregation of Information","authors":"J. M. Brotons, M. E. Sansalvador","doi":"10.25102/FER.2017.01.03","DOIUrl":"https://doi.org/10.25102/FER.2017.01.03","url":null,"abstract":"In this work a methodology will be developed, which it will substantially improve the quantification process of certain elements of Cost of Quality which companies cannot estimate through objective criteria. The methodological proposal for the quantification of these costs is based on the foundations of fuzzy logic. In particular an aggregation technique based on ordered weighted averaging is used establishing a new and original weighting factor: the level of Quality Management. This work presents an innovative development of the different tools that fuzzy logic provides for their use in the management and measurement of quality.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"22 1","pages":"33-44"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69293136","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}
引用次数: 1
Quality Assessment of Fuzzy Classification: An Application to Solvency Analysis 模糊分类质量评价在偿付能力分析中的应用
Fuzzy Economic Review Pub Date : 2017-01-01 DOI: 10.25102/FER.2017.01.02
Fabián Castiblanco, J. Montero, Juan Tinguaro Rodríguez, D. Gómez
{"title":"Quality Assessment of Fuzzy Classification: An Application to Solvency Analysis","authors":"Fabián Castiblanco, J. Montero, Juan Tinguaro Rodríguez, D. Gómez","doi":"10.25102/FER.2017.01.02","DOIUrl":"https://doi.org/10.25102/FER.2017.01.02","url":null,"abstract":"The aim of this paper is to apply and establish the advantages of using fuzzy classification systems in evaluating the quality of a fuzzy partition. The system is applied in a methodological proposal for the analysis of the business financial solvency in a specific sector. The sectorial analysis of the solvency is considered as an unsupervised fuzzy classification problem and it is sought through the application of the system, to evaluate both the classification and the quality of the established partition, which allows determine whether modify, to eliminate or to add classes to the partition of the sample space.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"22 1","pages":"19-31"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69292197","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}
引用次数: 4
Fuga, a Fuzzy Greedy Algorithm for Redistricting in Mexico 墨西哥选区重划的模糊贪心算法Fuga
Fuzzy Economic Review Pub Date : 2017-01-01 DOI: 10.25102/fer.2017.02.01
S. De-Los-Cobos-Silva, M. Gutiérrez-Ándrade, E. Rincón-García, R. Mora-Gutiérrez, Pedro Lara-Velázquez, Antonin Ponsich
{"title":"Fuga, a Fuzzy Greedy Algorithm for Redistricting in Mexico","authors":"S. De-Los-Cobos-Silva, M. Gutiérrez-Ándrade, E. Rincón-García, R. Mora-Gutiérrez, Pedro Lara-Velázquez, Antonin Ponsich","doi":"10.25102/fer.2017.02.01","DOIUrl":"https://doi.org/10.25102/fer.2017.02.01","url":null,"abstract":"Redistricting is the redrawing of the boundaries of legislative districts for electoral purposes in such a way that the generated districts fulfill federal and state requirements such as contiguity, population equality and compactness. Redistricting is a multi-objective problem which has been proved to be NP-hard. In Mexico, the redistricting process has been done using an aggregation function, considering a weighted sum of the objectives. However, if different weighting factors are used then a set of diverse, high quality solutions can be generated and a new problem arises: which solution should be implemented? In this paper we propose a novel alternative, called FuGA, to select the best solution for the redistricting problem using a fuzzyfication of the objective function. The proposed algorithm was applied in a real case, and its solutions were compared with those produced by VIKOR, a well-known algorithm for decision making. FuGA showed a better performance since it was able to avoid the selection of dominated solutions.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"22 1","pages":"2268"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69293289","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}
引用次数: 1
BONFERRONI DISTANCES WITH HYBRID WEIGHTED DISTANCE AND IMMEDIATE WEIGHTED DISTANCE 混合加权距离和直接加权距离的Bonferroni距离
Fuzzy Economic Review Pub Date : 2017-01-01 DOI: 10.25102/FER.2017.02.02
Fabio Blanco-Mesa, J. Merigó
{"title":"BONFERRONI DISTANCES WITH HYBRID WEIGHTED DISTANCE AND IMMEDIATE WEIGHTED DISTANCE","authors":"Fabio Blanco-Mesa, J. Merigó","doi":"10.25102/FER.2017.02.02","DOIUrl":"https://doi.org/10.25102/FER.2017.02.02","url":null,"abstract":"","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"22 1","pages":"2274"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69293371","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}
引用次数: 8
Precautionary Principle and Attitudinal Decision Making 预防原则与态度决策
Fuzzy Economic Review Pub Date : 2017-01-01 DOI: 10.25102/FER.2017.01.01
K. Engemann, H. Miller
{"title":"Precautionary Principle and Attitudinal Decision Making","authors":"K. Engemann, H. Miller","doi":"10.25102/FER.2017.01.01","DOIUrl":"https://doi.org/10.25102/FER.2017.01.01","url":null,"abstract":"We discuss the precautionary principle and decision making with consideration of the attitudinal disposition or bias of the decision maker. First, we review several applications where the precautionary principle applies and conclude that applying it in its strongest form implies a highly risk averse decision maker. The value of additional information is determined and is dependent on the bias of the decision maker. We present a methodology for the selection of strategies that incorporates sensitivity analysis of the decision maker’s attitude.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"22 1","pages":"2268"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69292546","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}
引用次数: 3
CHANGING STRATEGIES USING FUZZY SETS RELATIONS – A DIAGNOSTICS APPROACH 利用模糊集关系改变策略——一种诊断方法
Fuzzy Economic Review Pub Date : 2017-01-01 DOI: 10.25102/FER.2017.02.03
R. Chávez, Federico Gonźalez, Beatriz Flores, J. Flores
{"title":"CHANGING STRATEGIES USING FUZZY SETS RELATIONS – A DIAGNOSTICS APPROACH","authors":"R. Chávez, Federico Gonźalez, Beatriz Flores, J. Flores","doi":"10.25102/FER.2017.02.03","DOIUrl":"https://doi.org/10.25102/FER.2017.02.03","url":null,"abstract":"The traditional Second Order Change (SOC) model contains a set of equations that allow us to determine the possible strategy change using probability. In this article, we propose a simpler heuristic model, based on fuzzy numbers, to diagnose the organization’s personnel, and determine whether the strategy needs to be changed. The proposal starts with the diagnostics provided by experts in favor or against the new strategy. These experts are included in the SOC model through fuzzy set relations that indicate the preference to the current strategy. That strategy decreases tension and avoids early changes as a tactical strategy. Finally, we must prove there is a significant SOC using the Hamming distance","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"22 1","pages":"45-55"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69293397","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}
引用次数: 0
FUZZY GROUPING VARIABLES IN ECONOMIC ANALYSIS. A PILOT STUDY OF A VERIFICATION OF A NORMATIVE MODEL FOR R&D ALLIANCES 经济分析中的模糊分组变量。研发联盟规范模型验证的试点研究
Fuzzy Economic Review Pub Date : 2016-11-01 DOI: 10.25102/FER.2016.02.02
A. Morreale, Jan Stoklasa, T. Talásek
{"title":"FUZZY GROUPING VARIABLES IN ECONOMIC ANALYSIS. A PILOT STUDY OF A VERIFICATION OF A NORMATIVE MODEL FOR R&D ALLIANCES","authors":"A. Morreale, Jan Stoklasa, T. Talásek","doi":"10.25102/FER.2016.02.02","DOIUrl":"https://doi.org/10.25102/FER.2016.02.02","url":null,"abstract":"Many of the investments decisions facing with uncertainty can be characterized as real options problems. There is evidence of deviation from the predictions derived using such normative models. The proposed research sheds light on the importance of integrating normative models with experimental methods in order to predict and explain such cognitive limitations, in the particular context of R&D alliances. The focus is on appropriate validation of such models on experimental data. We propose a simple design starting from a real options model dealing with alliance timing decisions. We present the decision makers with risky choices formulated as abstract gambling decisions in order to assess their risk propensity and to validate the normative predictions of the model. This paper introduces the basic principles of the use of fuzzy grouping variables in economic analysis. On the survey data gathered to validate the predictive power of the presented model we show that fuzzy sets can be effectively used to partition the experimental data into fuzzy subsets for model verification (e.g. when subgroups cannot be defined in a crisp way). We compare the validation of the model on a full data set with a “refocused” validation on a fuzzy subset of the original sample.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"21 1","pages":"19-46"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69291503","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}
引用次数: 0
Simulation Decomposition: New Approach For Better Simulation Analysis Of Multi-Variable Investment Projects 模拟分解:多变量投资项目模拟分析的新方法
Fuzzy Economic Review Pub Date : 2016-11-01 DOI: 10.25102/FER.2016.02.01
M. Kozlova, M. Collan, P. Luukka
{"title":"Simulation Decomposition: New Approach For Better Simulation Analysis Of Multi-Variable Investment Projects","authors":"M. Kozlova, M. Collan, P. Luukka","doi":"10.25102/FER.2016.02.01","DOIUrl":"https://doi.org/10.25102/FER.2016.02.01","url":null,"abstract":"This paper presents a new method to enhance simulation-based analysis of complex investments that contain multi-variable uncertainty. The method is called “simulation decomposition”. Typically the result of simulation-based investment analysis is in the form of histogram distributions - here we propose a method for first classifying the possible outcomes of selected uncertain variables into states and then using combinations of the created states in the decomposition of the simulated distribution into a number of sub-distributions. The sub-distributions that can be matched to state-combinations of the variables contain relevant actionable information that helps managers in decision-making with regards to the studied investments. A numerical illustration of a renewable energy investment is used to demonstrate the usability, the enhanced analytical power, and the intuitively understandable benefits that can be reached by using the simulation decomposition method. The proposed method is generally usable and can be utilized independent of the investment context.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"21 1","pages":"3-18"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69291493","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}
引用次数: 8
Similarity Classifier With Weighted Ordered Weighted Averaging Operator 基于加权有序加权平均算子的相似分类器
Fuzzy Economic Review Pub Date : 2016-11-01 DOI: 10.25102/fer.2016.02.05
O. Kurama, P. Luukka, M. Collan
{"title":"Similarity Classifier With Weighted Ordered Weighted Averaging Operator","authors":"O. Kurama, P. Luukka, M. Collan","doi":"10.25102/fer.2016.02.05","DOIUrl":"https://doi.org/10.25102/fer.2016.02.05","url":null,"abstract":"In this paper we present a similarity-based classifier that utilizes a weighted ordered weighted averaging (WOWA) operator in the aggregation of infor-mation. The aggregation process used in the WOWA operator is studied and tested with five different Regular Increasing Monotonic (RIM) weight generators or quantifiers. The proposed approach is tested with five real-world data sets. For comparison purposes the obtained results are compared to results from two previously introduced classifiers. The proposed new classifier showed comparatively improved performance over for all studied data sets. The results indicate that there are benefits in using a WOWA operator in similarity classifiers.","PeriodicalId":38703,"journal":{"name":"Fuzzy Economic Review","volume":"21 1","pages":"93-109"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69292036","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}
引用次数: 0
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