A semantic fuzzy expert system for a fuzzy balanced scorecard

Bobillo, Fernando; Delgado, Miguel; Gómez‐Romero, Juan; López, E.

doi:10.1016/j.eswa.2007.09.020

Cited by 60 publications

(38 citation statements)

References 18 publications

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“…Por su parte, Nissen [9] describió en su trabajo la importancia de los aspectos de la incertidumbre en el contexto del cuadro de mando mediante el estudio de los conjuntos difusos y su aplicación en esta herramienta. La investigación de Bodillo et al [10], añaden la semántica y la vaguedad al BSC y demuestran el éxito que tienen la lógica difusa en su tratamiento. Mallo et al [11], proponen la aplicación de la lógica difusa para la cuantificación de los factores críticos de éxito de medición subjetiva y su comparación con los objetivos propuestos.…”

Section: Aplicación De Lógica Difusa En Indica-dores De Gestión Y Bscunclassified

La Gestión de Indicadores Empresariales con Lógica Difusa para la Toma de Decisiones

Serna¹,

Urán²,

Ortega³

2012

Lámpsakos

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Resumen. En las organizaciones actuales la toma de decisiones está acompañada de cierto grado de incertidumbre, lo que no permite planificar sobre resultados ciertos. En algunas ocasiones medir estos resultados también implica incertidumbre asociada con la ambigüedad o subjetividad del instrumento utilizado. Como solución para este problema, se propone un sistema de medición y análisis basado en el Balance Scorecard que incorpora técnicas de lógicas difusas para disminuir la incidencia de esta incertidumbre en los procesos de toma y análisis de decisiones.Palabras clave: Balance Scorecard; lógica difusa; gestión de indicadores; sistema de inferencia difusa, modelo difuso tipo Mamdani.Abstract. In today's organizations the decision-making processes are always accompanied by some degree of uncertainty makes it impossible to plan on completely accurate results. Sometimes measure these results also have some uncertainty associated with ambiguity or subjectivity of the instrument used; as a solution to this problem, this paper proposes a measurement and analysis system based on the Balance Scorecard that incorporates fuzzy logic techniques to decrease the incidence of this type of uncertainty in the processes of making and analysis decision.

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Section: Aplicación De Lógica Difusa En Indica-dores De Gestión Y Bscunclassified

La Gestión de Indicadores Empresariales con Lógica Difusa para la Toma de Decisiones

Serna¹,

Urán²,

Ortega³

2012

Lámpsakos

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“…ES are automated advisory programs that attempt to emulate the reasoning processes and knowledge of experts to reach the goal of particular problem. ES are of great importance to institution and commercial organisations due to the difficulties of gaining experts [24], [25].…”

Section: Expert Systemsmentioning

confidence: 99%

The Comparison between Forward and Backward Chaining

Al-Ajlan¹

2015

IJMLC

107

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Abstract-Nowadays, more and more students all over the world need expert systems, especially in academic sectors. They need advice in order to be successful in their studies, and this advice must be provided by the academic management. There are two reasoning strategies in expert system, which have become the major practical application of artificial intelligence research: forward chaining and backward chaining. The first one starts from the available facts and attempts to draw conclusions about the goal. The second strategy starts from expectations of what the goal is, and then attempts to find evidence to support these hypotheses. The aim of this paper is to make a comparative study to identify which reasoning strategy system (forward chaining or backward chaining) is more applicable when making evaluations in expert management, especially in the academic field.Index Terms-Artificial intelligence, expert system, forward and backward chaining, state space.

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“…Meanwhile the balanced scorecard is like a scientific management tool in organization that can be used for human core activities assessment using purposes and key performance indicators. Balanced scorecard (BSC) was used as determination tool in the level of strategic managers for organizational purposes realization; plotted by David Norton and Robert Kaplan in early 1990 [3]. Balanced scorecard not only measures the results of past financial performance in helping the financial standards, but also in every section of time (customer view, internal process, growth and learning) there are some ingredients measured to identify the organization future returns [17].…”

Section: Introductionmentioning

confidence: 99%

BSC technique research employment National Cartographic Center of Iran to identify and classify the human sources performance indicators in fuzzy AHP environment

Farhanghi

Ghassemi

Liaghati

et al. 2012

IJLD

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This investigation was exercised to identify the human source's key indicators of National Cartographic Center as a provider of map and spatial data infrastructure, taking into account the balances scorecard approach and analyzing the fuzzy hierarchal process. The investigation is in a descriptive form and the way of collecting the information is in library-ground form. Balanced scorecard (BSC) establishes balance between financial previous indicators and provident indicators (the other three aspects) to assess the organizational performance. In this research first the compliance inquiries evidence and documentaries (National Cartographic Center) about human source' indicators has been collected then, indicators was set in hierarchal structure using the alternative purposes of BSC spectrum and scales was specified for every indicators coefficient. For nominating the efficiency importance, AHP questionnaire with fuzzy framework were used. The results showed that human force expense costing, job satisfaction, coverage the educational requirement, and the percentage of educated human source are the most important key performance indicators (KPI) that specified in human source distinct.

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A semantic fuzzy expert system for a fuzzy balanced scorecard

Cited by 60 publications

References 18 publications

La Gestión de Indicadores Empresariales con Lógica Difusa para la Toma de Decisiones

La Gestión de Indicadores Empresariales con Lógica Difusa para la Toma de Decisiones

The Comparison between Forward and Backward Chaining

BSC technique research employment National Cartographic Center of Iran to identify and classify the human sources performance indicators in fuzzy AHP environment

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