introduction determining the importance of environmental impacts is one of the main issues and concerns in the process of environmental impact assessment (eia) of projects. ecological impacts assessment is very complicated and requires estimates and anticipates of all environmental impacts and thus always associated with uncertainty. a major problem in assessment of ecological impacts is that t...

Lecture2: Fuzzy Logic and Inferencing.Download PDF 616KB. Fuzzy Logic as interfacing technique in hybrid AI-systems. Extracting knowledge from data using an intelligent fuzzy data browser.Fuzzy Logic in Artificial Intelligence. Karl Menger fuzzy logic and artificial intelligence An experiment in reflection.Fuzzy Systems in AI. This paper reviews motivations for introducing fuzzy sets and fuzzy ...

In this paper, a new improved Differential Search Algorithm optimization approach is proposed and successfully applied to the design and tuning of a PID-type Fuzzy Logic Controller. The scaling factors tuning problem of the Fuzzy Logic Controller structure is formulated and systematically resolved, using the improved constrained Differential Search Algorithm-based method. A comparison, with the...

This paper discusses a general approach to qualitative modeling based on fuzzy logic. The method of qualitative modeling is divided into two parts: fuzzy modeling and linguistic approximation. It proposes to use a fuzzy clustering method (fuzzy c-means method) to identify the structure of a fuzzy model. To clarify the advantages of the proposed method, it also shows some examples of modeling, a...

fuzzy logic, 67algebraic semantics, 53approximate reasoning, 6axiomatic extensions of MTL, 56 Bellman, R., 21bipolar possibilistic logic, 93BL logic, 51 canonical chain, 66canonical completeness, 66canonical extension, 83Carnap, R., 3comparative truth, 63compositionality, 29computational complexity, 73core fuzzy logic, 58 De Finetti B., 3degre...

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We study generalized deduction rules of cut and weakening in the context of equational fragment of Pavelkastyle fuzzy logic using complete residuated lattices as the structures of truth degrees. The deduction rules in question are parameterized by a truth stresser, an additional unary operation on the structure of truth degrees. It is shown that the deductive system of fuzzy Horn logic can be r...

The aim of this paper is to introduce improvements made to a classifier based on the fuzzy similarity [1]. Improvements are based on the use of generalized Łukasiewicz-structure and weight optimization. We are presenting some new results and a more detailed description of the theoretical background and fixing some terminology compared in to our previous work [2]. The main benefits of the classi...

Fuzziness is often regarded as a special form of uncertainty, possibly related to probability but not necessarily reducible to the latter. Indeed, all the mathematical techniques that have been proposed to model fuzziness are substantially different from probabilistic methods, albeit sometimes loosely similar. As shown in this paper, a particular form of fuzzy logic can be derived from probabil...