Adaptive Fuzzy Cognitive Maps for Hyperknowledge Representation in Strategy Formation Process

نویسندگان

  • Christer Carlsson
  • Robert Fullér
چکیده

In [6] Carlsson demonstrated that all the pertinent conceptual constructs of strategic management theory can be represented with a knowledge based support (KBS)-system with hyperknowledge properties. Furthermore, he shows that cognitive maps can be used to trace the impact of the support and to generalize the experiences of the users. In this paper we will show that the effectiveness and usefulness of this hyperknowledge support system can be further advanced using adaptive fuzzy cognitive maps.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Hyperknowledge representation: challenges and promises

Hyperknowledge is formed as a system of sets of interlinked concepts, much in the same way as hypertext is built with interlinked text strings; then hyperknowledgefunctions would be constructs which link concepts / systems of concepts in some predetermined or wanted way. Under hyperknowledge representation we mean the identification (or approximation) of hyperknowledge-functions in order to exp...

متن کامل

A new control strategy for energy management in Plug-in Hybrid Electric Vehicles based on Fuzzy Cognitive Maps

In this paper, a new control strategy for energy management in Plug-in Hybrid Electric Vehicles (PHEVs) using Fuzzy Cognitive Map (FCM) is presented. In this strategy, FCM is used as a supervisory control such that the State of Charge (SoC) of the battery is kept in the acceptable range and fuel consumption per kilometer is reduced, in addition to providing the request power. Since this method ...

متن کامل

Using Fuzzy Cognitive Maps for Prediction of Knowledge Worker Productivity Based on Real Coded Genetic Algorithm

  Improving knowledge worker productivity has been one of the most important tasks of the century. However, we have few measures or management interventions to make such improvement possible, and it is difficult to identify patterns that should be followed by knowledge workers because systems and processes in an organization are often regarded as a death blow to creativity. In this paper, we se...

متن کامل

Comparison Between Unsupervised and Supervise Fuzzy Clustering Method in Interactive Mode to Obtain the Best Result for Extract Subtle Patterns from Seismic Facies Maps

Pattern recognition on seismic data is a useful technique for generating seismic facies maps that capture changes in the geological depositional setting. Seismic facies analysis can be performed using the supervised and unsupervised pattern recognition methods. Each of these methods has its own advantages and disadvantages. In this paper, we compared and evaluated the capability of two unsuperv...

متن کامل

Developing Initial State Fuzzy Cognitive Maps with Self-Organizing Maps

Using soft computing methods, the authors collect and process relevant user-generated information from the web. Through the use of self-organizing maps, fuzzy cognitive maps are constructed. The fuzzy cognitive map is a generated representation of the emergent web semantics of the dataset. In the next step, the fuzzy cognitive maps are enriched with related lexical content and stored in a graph...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1996