We present results of situation assessment that: i) uses type 1 fuzzy logic (T1FL) for decision making/fusion in some aviation scenarios, ii) uses modified situation assessment (pilot’s mental-) models, and iii) can have noisy inputs to the situation assessment models. The results indicate that some existing fuzzy logic implication functions in decision making/fusion work very well. This beacon...

Data Envelopment Analysis (DEA) is a widely used technique for measuring the relative efficiencies of homogenous Decision Making Units (DMUs) with multiple inputs and multiple outputs. These factors may be evaluated in fuzzy or stochastic environment. Hence, the classic structures of DEA model may be changed where in two fold fuzzy stochastic environment. For instances, linearity, feasibility a...

in this work, we define fuzzy soft ($fs$) matrices and theiroperations which are more functional to make theoretical studies inthe $fs$-set theory. we then define products of $fs$-matrices andstudy their properties. we finally construct a $fs$-$max$-$min$decision making method which can be successfully applied to theproblems that contain uncertainties.

Decision making in an uncertain environment is a complex task for decision makers. Fuzzy multi criteria decision making methods are proposed in the literature where the subjective criteria and the weights of all criteria are assessed in linguistic variables since conventional methods cannot take into consideration the subjectivity and uncertainty in the decision process. Fuzzy ELECTRE I (Elimin...

Because of the complexity of limitation and realistic decision of decision knowledge, multiple attribute decision making problems with the attribute value often need to characterize fuzzy number. The triangular fuzzy number to describe this kind of ambiguity is very effective and for the project investment selection problem with triangular fuzzy numbers, this study puts forward a new multiple a...

This paper presents the fuzzy expert system for intelligent support of decision making about cause of stone construction crack of building. The system is based on some linguistic expert expressions formalised by 9 fuzzy knowledge bases. Tuning of fuzzy rules by genetic algorithms provided a good concordance between real causes of cracks and results of decision making by the system.

In the paper after a short review of main characteristics of risk management applications, some novel fuzzy calculation based possibilities will be presented, like the hierarchical grouping of risk factors, type-2 fuzzy sets representation and decision making on distance-based operators’ platform. The examples are given from the medical diagnostic and risk factor management. Key-Words: risk man...

In this paper, two fuzzy algorithms for automatic decision making for antipersonnel landmine detection form sensors data. The first is a “feature in-decision out” fuzzy fusion algorithm for two sensors measurements, namely a ground penetrating radar (GPR) and a metal detector (MD). The inputs to the fuzzy fusion algorithm are features extracted from both GPR and MD measurements while the output...

Through this paper we present the implementation of fuzzy decision making in case of a medical diagnostic system and compare the results with those of the Intuitionistic fuzzy decision making technique. Both the approaches are used to solve multi-criteria, complex decision making problems. Intuitionistic fuzzy differs from the fuzzy approach as it adds indeterminacy and imprecision to the fuzzy...

The aim of this paper is to adopt a compromise ratio (CR) methodology for fuzzy multi-attribute single-expert decision making proble. In this paper, the rating of each alternative has been described by linguistic terms, which can be expressed as triangular fuzzy numbers. The compromise ratio method for fuzzy multiattribute single expert decision making has been considered here by taking the ran...