An overview of decision table literature 1982-1995.

This report gives an overview of the literature on decision tables over the past 15 years. As much as possible, for each reference, an author supplied abstract, a number of keywords and a classification are provided. In some cases own comments are added. The purpose of these comments is to show where, how and why decision tables are used. The literature is classified according to application area, theoretical versus practical character, year of publication, country or origin (not necessarily country of publication) and the language of the document. After a description of the scope of the interview, classification results and the classification by topic are presented. The main body of the paper is the ordered list of publications with abstract, classification and comments.

An overview of decision table literature.

The present report contains an overview of the literature on decision tables since its origin. The goal is to analyze the dissemination of decision tables in different areas of knowledge, countries and languages, especially showing these that present the most interest on decision table use. In the first part a description of the scope of the overview is given. Next, the classification results by topic are explained. An abstract and some keywords are included for each reference, normally provided by the authors. In some cases own comments are added. The purpose of these comments is to show where, how and why decision tables are used. Other examined topics are the theoretical or practical feature of each document, as well as its origin country and language. Finally, the main body of the paper consists of the ordered list of publications with abstract, classification and comments.

A Fuzzy Inference System-Based Approach For Assessing Strategic Capabilities In Global Production Networks

Intangible factors, e.g. the availability of infrastructure at a production site, and implicit knowledge, have an essential influence on the decision-making in global production networks. However, the consideration of intangible factors and implicit knowledge, especially in planning the production network configuration and determining the production network strategy, is usually done implicitly or only based on qualitative and subjective estimations. This can cause biased decisions and miscalculations that make additional and expensive adaptions in the global production network necessary. In order to address this challenge, this paper develops a methodology based on fuzzy inference systems (FIS) to enable a more quantitative and objective consideration of strategic network capabilities influenced by intangible factors and implicit knowledge. For this, the strategic network capabilities are described by several criteria aggregated through one or multiple cascading fuzzy inference systems. The resulting metrics for strategic network capabilities as well as intangible factors are normalized and comparable. Transparency about strategic network capabilities allows a focused discussion about the strategic configuration of the production network. Moreover, the metrics can also be used in other quantitative approaches such as mathematical optimization. The proposed methodology is demonstrated with 70 intangible factors, six strategic network capabilities, and 21 sub-capabilities from academic literature. It can be shown that the developed methodology can map intangible factors and implicit knowledge in a very flexible and detailed manner by selecting and weighting the describing criteria within the FIS in order to quantify strategic network capabilities

Performance evaluation of enterprise architecture using fuzzy sequence diagram

Developing an Enterprise Architecture is a complex task and to control the complexity of the regulatory framework we need to measure the relative performance of one system against other available systems. On the other hand, enterprise architecture cannot be organized without the use of a logical structure. The framework provides a logical structure for classifying architectural output. Among the common architectural framework, the C4ISR framework and methodology of the product is one of the most popular techniques. In this paper, given the existing uncertainties in system development and information systems, a new version of UML called Fuzzy-UML is proposed for enterprise architecture development based on fuzzy Petri nets. In addition, the performance of the system is also evaluated based on Fuzzy sequence diagram