In this paper, we develop a robust and fault-tolerant approach to microwave-based sensitive
measurements using fuzzy neural network (FNN). Microwave chemic-identification, recently …

The inference rules relating land characteristics to suitability class are crucial to the
estimation of agricultural land suitability. In fuzzy logic modeling for agricultural land …

This paper presents an innovative approach to optimize the process of the transmission line
towers spotting using genetic algorithms. The mathematical model as well as the process of …

The aim of this study is to highlight the importance of uncertainty assessmentsin GIS-based
multi-attribute land-use decision making. To this end, and based on the basic premise that …

This work studies the application of the multi-objective genetic algorithm based on the
Pareto approach, as a tool for the decision making support in the geospatial analysis. Pareto …

The article gives a new approach to the assessment of objects in terms of various criteria
which by its nature belong to the issue of multi-criteria decision making and analysis. The …

Given that Planning focuses on the study of place and space (concepts at the core of both
the RTPI and AESOP; 1 see also the overall introduction) it is undeniable that QRM and …

The aim of this work is to explore the method of fuzzy clustering applied for classification of
spatial objects or generic geospatial analysis and cluster analysis as a classification of …

This paper describes the development and the use of strategic decision-making tools MCA
through multi-criteria decision-making methods on measured data and models. Methods are …