In the early 1970s, fuzzy systems and fuzzy control theories added a new dimension to control systems engineering. From its beginnings as mostly heuristic and somewhat ad hoc, more recent and rigorous approaches to fuzzy control theory have helped make it an integral part of modern control theory an... Reflecting the tremendous advances that have taken place in the study of fuzzy set theory and...

INFUS (http://infus.itu.edu.tr) is an acronym for Intelligent and Fuzzy Systems. It international research forum to advance the foundations applications of intelligent fuzzy systems, computational intelligence, soft computing applied in general complex engineering decision support systems. The principal mission bridging gap between intelligence systems real via joint universities institutions, ...

Safety assessment based on conventional methods such as probability risk assessment (PRA) may not be well suited for dealing with innovative systems having a high level of uncertainty, particularly in the feasibility and concept design stages of a maritime engineering system. By contrast, safety models using fuzzy logic approaches employing fuzzy IF-THEN rules can model the qualitative aspects ...

Driven by the needs of engineered underground systems, the field of rock mechanics is evolving to address the interactions of in situ mechanical, thermal, hydrologic, and chemical processes and their effects on system performance. Important technical issues include understanding how the relevant loads and gradients drive in situ processes; rock mass variability, discontinuity, and heterogeneity...

The paper combines two major neuro-fuzzy applications in power engineering: stabilizing power systems at a generation stage and reducing disturbances at a delivery stage. It presents a neural-fuzzy classifier for recognition of power disturbances and a fuzzy excitation controller comprising both the exciter and the power system stabilizer.

material presented at the tutorial as well as a useful list of references. Two-valued Boolean (Crisp) as well as their many-valued extensions (fuzzy relations) play increasingly important role in representation and computing with engineering and scientiic data and knowledge. Relations provide important tools in dealing with modal and belief logics used in AI. In intelligent systems and Knowledg...

The objective of this paper is to present a new rock mass classification system which can be appropriate for rock slope stability assessment. In this paper an evaluation model based on combining the Analytic Hierarchy Process (AHP) and the Fuzzy Delphi method (FDM)was presented for assessing slope rockmass quality estimates. This research treats the slope rockmass classification as a group deci...

Quality function development (QFD) is a planning tools used to fulfill customer expectation and QFD is a systematic process to translating customer requirement (WHATs) into technical description (HOWs). QFD aims to maximize customer satisfactions related to enterprise satisfaction. The inherent fuzziness of relationships in QFD modeling justifies the use of fuzzy regression for estimating the r...

1.1. Digital communities and a fundamental quest for human-centric systems. 1.2. A historical overview: towards a non-Aristotelian perspective of the world. 1.3. Granular Computing. 1.3.1. Sets and interval analysis. 1.3.2. The role of fuzzy sets: a perspective of information granules. 1.3.3. Rough sets. 1.3.4. Shadowed sets. 1.4. Quantifying information granularity: generality versus specifici...