This paper proposes a new fuzzy FCA-based approach to conceptual clustering for automatic generation of concept hierarchy on uncertainty data. The proposed approach first incorporates fuzzy logic into Formal Concept Analysis (FCA) to form a fuzzy concept lattice. Next, a fuzzy conceptual clustering technique is proposed to cluster the fuzzy concept lattice into conceptual clusters. Then, hierar...

A new methodology for classification of objects and categorisation of concepts is proposed. Fuzzy concept or category can be defined by a set of examples. Evidence is collected from all the features in each example in the example set. If a feature of an example appears to exist in an unknown object, it assumes that there is some support for the unknown object to be classified as the concept of ...

The paper presents the design of municipal creditworthiness parameters. Municipal creditworthiness modelling is realized by means of unsupervised methods, namely neural networks, cluster and fuzzy cluster analysis methods. Analysis of the gained results is based on clustering quality evaluation and further, on the comparison to results gained by the designed hierarchical structure of fuzzy infe...

The purpose of this study is to apply an integrated algorithm for knowledge structure analysis. The integrated algorithm includes Item Response Theory (IRT) and Fuzzy Structural Modeling (FSM). The authors use the psychometric model IRT for calculation the ability of task-takers. Based on original response data and item-concept matrix, the individualized fuzzy subordinate matrix is acquired. FS...

Measurement of quality is an important task in the evaluation of agricultural products and plays a pivotal role in agricultural production. The inspection process normally involves a visual examination according to the ripeness standards of crops, and this grading is subject to expert knowledge and interpretation. Therefore, the quality inspection process of fruits needs to be conducted properl...

A two-stage logarithmic goal programming (TLGP) method is proposed to generate weights from interval comparison matrices, which can be either consistent or inconsistent. The first stage is devised to minimize the inconsistency of interval comparison matrices and the second stage is developed to generate priorities under the condition of minimal inconsistency. The weights are assumed to be multi...

Fuzzy models have been designed to represent approximate or imprecise relationships in complex systems and have been successfully employed in control systems, expert systems, and decision analysis. Classically, fuzzy models were built from human expertise and knowledge of the system being modeled. As systems have grown more complex it has become increasingly difficult to construct models direct...

electronic commerce as one of the most important of innovation aspects in the process of doing business is used by many organizations and companies in the world. cooperatives as the main part of the country's economy have fundamental role in improving and promoting of economic. therefore, innovation methods and tools, new processes and perform business tasks such as e-commerce will play an impo...

urban parks have essential role in public welfare. their role could be observed in personal, socio-economic, environmental and mental wellbeing. provision of socio-mental needs of citizens and enhancement of social cohesion are contributed to the way of using urban open and green spaces which such issue requires elaborated planning and design. equal access to parks is an important issue in dist...