Recently, Calantone, Di Benedetto, and Schmidt [2] presented an Analytic Hierarchy Process (Am) modeling approach to new product screening. The illustration of this approach is an example of a decision support model that seeks to aid managers in selecting new product ideas to pursue. In this paper we improve upon this initial AHP model using a "fuzzy" mathematical application. This use of fuzzy...

An automatically trained, statistically based, fuzzy inference system that functions as a classifier is produced. The hybrid system is designed specifically to be used as a decision support system. This hybrid system has several features which are of direct and immediate utility in the field of decision support, including a mechanism for the discovery of domain knowledge in the form of explanat...

Decision support systems play an important role in many application domains. For instance, in the detection of serious crime, including terrorist activity, an intelligent system which is capable of automated modelling and analysis of intelligence data is of great importance. It will provide useful decision support for intelligence analysts, offering an effective means in the assessment of scena...

Spread mooring systems are associated with high level uncertainties and risks during tanker loading/ unloading operations. In addition, the design of such complex systems consists of many subjective and imprecise parameters. Therefore, in the present study, a fuzzy based decision support methodology is designed to overcome aforementioned characteristics. The fuzzy methodology incorporates quali...

A complicated decision-making problem such as environmental impact assessment usually requires both quantitative and qualitative decision support tools to collaborate for reaping their benefits concurrently. Although the analytic hierarchy process (AHP) has been widely used in EIA, it is hardly to address the dependence issue among environmental factors and reflect the subjectivity between scie...

Mankind is confronted with an increasingly complex system, especially the major decision issues, such as organization and management, coordination, planning, forecasting, controlling and so on. Due to the complexity of the system, many fuzzy factors and the limitations of the existing complex giant system theory, there are still many problems to be solved. The research on the giant complex syst...

We present a fuzzy decision support system that can be used in traffic control centers to provide a limited list of appropriate combinations of traffic control measures for a given traffic situation. The system we describe is part of a larger traffic decision support system that can assist the operators of traffic control centers when they have to reduce non-recurrent congestion using a network...

allows the user to define rules on contraindication alerts, drug interaction warnings, diagnostic and In the near future, every medical intreatment recommendations, etc. formation system wiil be equipped with a function that provides knowledge-based decision support. Data-driven knowledgebased decision support consists, in the first place, of a medical data-to-concept conversion step and, secon...