This paper proposes a query expansion method using fuzzy abductive inference. This query expansion method for information retrieval is useful, because unexpected related information are probably be obtained by adding new words to the query. The fuzzy abductive inference is the inference method based on Peng and Reggia's abductive inference. This method infers irredundant combinations of concept...

This paper proposes a query expansion method using fuzzy abductive inference for creative thinking support system. This query expansion method for information retrieval is useful, because unexpected related information are probably be obtained by adding new words to the query. The fuzzy abductive inference is the inference method based on Peng and Reggia's abductive inference. This method infer...

The paper presents fuzzy navigation system for a mobile robot. This navigation is based on fuzzy inference machine that performs path planning and obstacle avoidance in arbitrary complex environments. The system is built as two-level hierarchical system. On the higher level there is a controlling PC that is connected with robot control unit through duplex, wireless communication channel. A sens...

In a large fuzzy rule-based system, a great dealof computation time is required for a fuzzy inference engine. A given fuzzy rule-based system is modeled as a fuzzy inference graph where each node in the graph corresponds to a relation representing a rule in the rule-based system. This paper presents algorithms to minimize the number of nodes in the graph using fuzzy operations as well as their ...

This paper presents the development and design of a graphical user interface and a command line programming toolbox for construction, edition and observation of Interval Type-2 Fuzzy Inference Systems. The Interval Type-2 Fuzzy Logic System Toolbox (IT2FLS), is an environment for interval type-2 fuzzy logic inference system development. Tools that cover the different phases of the fuzzy system ...

This paper presents the use of fuzzy inference to provide a viable modeling and simulation methodology for the estimation of population growth in any country or region. The study is motivated by the classical complex and time-consuming growth modeling and prediction methods. The related design issues are presented and the fuzzy inference model for population growth is derived. The human social ...

The spatial relationships plays an important role in GIS spatial data modeling, spatial query and spatial analysis etc. From the cognitive view, we represent and apply the information of relationships between spatial objects in the real world in computer system, study the fuzzy extension about description of spatial relationships at the base. Guided the spatial query the paper makes the model o...

In this work, we show that single input single output (SISO) fuzzy inference systems based on Fuzzy Relational Inference (FRI) with implicative interpretation of the rule base are universal approximators under suitable choice of operations for the other components of the fuzzy system. The presented proofs make no assumption on the form or representations of the considered fuzzy implications and...

Firstly, this paper presents fuzzy logic based approaches for building a tool for measuring ereadiness of a country. This paper proposes fuzzy logic for realizing the measuring tool as fuzzy logic allows processing of heterogeneous indicators and imprecise values assigned for them. The tool is constructed by using one or more fuzzy logic based inference engines. Secondly, due to the problems in...