The importance of fuzzy logic in the design of intelligent GIS is illustrated in this approach. At the opposite of map algebra systems based on boolean logic, this system manages imprecise and uncertain information in an efficient manner:

• the fuzzy reasoning allows some problems to be solved without critical choice and provides more information about a particular fact because fuzzy sets characterize it precisely,
  
  
• rapid fuzzy inferences transform the system in a real time system. The simple generalized modus ponens fast algorithm allows a gain of chip operations from (n is the number of elements of universes) to about ten operations. Equally the parallel generalized modus ponens fast algorithm allows a gain of chip operations from (k is the number of parallel rules) to about k ten operations,
  
  
• the easy specification (with several kinds of rules) or modification of a problem allows an expert or a user to specify and solve his problem by using a formal language and approach the best solution step by step.

We are now looking for :

• the integration of spatial rules using spatial relations which are fuzzy relations between two or more geographical objects such as "north of", "inside", "near to", "along", ....
  
  
• managing consistency and redundancy of rules in the parametric computation for parallel rules.