Log in

+34 977 759833sigef@urv.cat

FUZZY ECONOMIC REVIEW

ISSN (print) 1136-0593 · ISSN (online) 2445-4192

CHANGING STRATEGIES USING FUZZY SETS RELATIONS – A DIAGNOSTICS APPROACH

R. Chavez. Facultad de Químico Farmacobiología, ININEE. Email: pintachavez@gmail.com

F. González. Facultad de Ciencias Contables y Administrativas, Universidad Michoacana, Mexico, Email: fsantoyo@umich.mx

B. Flores. Facultad de Ciencias Contables y Administrativas, Universidad Michoacana, Mexico, Email: betyf@umich.mx

J.J. Flores. División de Estudios de Posgrado, Facultad de Ingeniería Eléctrica, Universidad de Michoacana, Mexico, Email: juanf@umich.mx

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.

Read more...

BONFERRONI DISTANCES WITH HYBRID WEIGHTED DISTANCE AND IMMEDIATE WEIGHTED DISTANCE

F. Blanco-Mesa. School of Business Administration, Faculty of Economic and Administrative Science, Pedagogical and Technological University of Colombia, North Central Avenue 39-115, 150001, Tunja, Boyacá, Colombia

J.M. Merigó. Department of Management Control and Information Systems, School of Economics and Business, University of Chile, Av. Diagonal Paraguay 257, 8330015, Santiago Chile.

The aim of the paper is to develop new aggregation operators using Bonferroni means, ordered weighted averaging (OWA) operators and some measures of distance. We introduce the Bonferroni Hybrid-weighted distance (BON-HWD), and Bonferroni distances with OWA operators and weighted averages (BON-IWOWAD). The main advantages of using these operators are that they allow the consideration of different aggregations contexts to be considered and multiple-comparison between each argument and distance measures in the same formulation. We develop a mathematical application to show the versatility of new models. Finally, this new group of family distances can be used in a wide range of management and economic fields.

Read more...

FUGA, A FUZZY GREEDY ALGORITHM FOR REDISTRICTING IN MEXICO

S.G. de-los-Cobos-Silva. Universidad Autónoma Metropolitana-Iztapalapa, Departamento de Ingeniería Eléctrica. Av. San Rafael Atlixco 186, Col. Vicentina, Del. Iztapalapa, México D.F., C.P. 09340, cobos@xanum.uam.mx

M. A. Gutiérrez-Andrade. Universidad Autónoma Metropolitana-Iztapalapa, Departamento de Ingeniería Eléctrica. Av. San Rafael Atlixco 186, Col. Vicentina, Del. Iztapalapa, México D.F., C.P. 09340, gamma@xanum.uam.mx

E. A. Rincón-García. Universidad Autónoma Metropolitana-Azcapotzalco, Departamento de Sistemas, Av. San Pablo 180, Colonia Reynosa Tamaulipas, Del. Azcapotzalco, México D.F., C.P. 02200, rigaeral@correo.azc.uam.mx

R. A. Mora-Gutiérrez. Universidad Autónoma Metropolitana-Azcapotzalco, Departamento de Sistemas, Av. San Pablo 180, Colonia Reynosa Tamaulipas, Del. Azcapotzalco, México D.F., C.P. 02200, mgra@correo.azc.uam.mx

P. Lara-Velázquez. Universidad Autónoma Metropolitana-Iztapalapa, Departamento de Ingeniería Eléctrica. Av. San Rafael Atlixco 186, Col. Vicentina, Del. Iztapalapa, México D.F., C.P. 09340, plara@xanum.uam.mx

A. Ponsich. Universidad Autónoma Metropolitana-Azcapotzalco, Departamento de Sistemas, Av. San Pablo 180, Colonia Reynosa Tamaulipas, Del. Azcapotzalco, México D.F., C.P. 02200, aspo@correo.azc.uam.mx

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.

Read more...

PRIORITIZED INDUCED PROBABILISTIC DISTANCES IN TRANSPARENCY AND ACCESS TO INFORMATION LAWS

E. Avilés-Ochoa. University of Occidente, Blvd. Lola Beltrán s/n esq. Circuito Vial, Culiacán, 80200, México.

L.A. Perez-Arellano. University of Occidente, Blvd. Lola Beltrán s/n esq. Circuito Vial, Culiacán, 80200, México.

E. León-Castro. University of Occidente, Blvd. Lola Beltrán s/n esq. Circuito Vial, Culiacán, 80200, México.

J.M. Merigó. Department of Management Control and Information Systems, School of Economics and Business, University of Chile, Av. Diagonal Paraguay 257, 8330015, Santiago Chile.

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.

Read more...

A FUZZY MODEL FOR THE QUANTIFICATION OF COST OF QUALITY BASED ON THE AGGREGATION OF INFORMATION

José M. Brotons. Miguel Hernández University, Edificio La Galia, Avda. de la Universidad, s/n, 03202, Elche (Spain), email: jm.brotons@uhm.es

Manuel E. Sansalvador. Miguel Hernández University, Edificio La Galia, Avda. de la Universidad, s/n, 03202, Elche (Spain), email: manri@uhm.es

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.

Read more...

QUALITY ASSESSMENT OF FUZZY CLASSIFICATION: AN APPLICATION TO SOLVENCY ANALYSIS

F. Castiblanco. Faculty of Accountancy, Gran Colombia University, Bogotá DC, Colombia, email: fabianalberto.castiblanco@ugc.edu.co

J. Montero. Department of Statistics, Complutense University, Madrid, Spain, email: monty@mat.ucm.es

J.T. Rodríguez. Department of Statistics, Complutense University, Madrid, Spain, email: jtrodrig@mat.ucm.es

D. Gómez. Department of Statistics, Complutense University, Madrid, Spain, email: dagomez@estad.ucm.es

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.

Read more...

PRECAUTIONARY PRINCIPLE AND ATTITUDINAL DECISION MAKING

Kurt J. Engemann. Center for Business Continuity and Risk Management, Iona College, New Rochelle, NY, 10801, USA. Email: kengemann@iona.edu

Holmes E. Miller. Department of Accounting, Business, Economics and Finance, Muhlenberg College, Allentown, PA, 18104, USA. Email: holmesmiller@muhlenberg.edu

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.

Read more...

Log in or Sign up