This research attempts to develop a decision support system for order selection. The proposed system is able to integrate both the quantitative and qualitative factors together. For the qualitative factors, the fuzzy IF–THEN rules are summarized from the questionnaire survey for the production experts and learned by a proposed fuzzy neural network (FNN) with initial weights generated by real-co...

This study proposes a simple and reliable feature selection algorithm for ECG signals which can be applied on heartbeat case determining. A well-established technique, Principal Component Analysis (PCA), is employed for qualitative feature selection in this study. Determination of heartbeat case is carried out by fuzzy logic and Fisher’s linear discriminant analysis (Fisher’s LDA). The proposed...

Bankruptcy is one of the most important issues in Financial Management and investment. Numerous studies on Bankruptcy Prediction have been carried out considering Quantitative factors and they applied different techniques on it to predict Bankruptcy, while only fewer studies have proposed and considered Qualitative factors for prediction of Bankruptcy and even then failure of bankruptcy persist...

Knowledge network/mobilisation and lean performance have been most often discussed in an isolated manner in generic context in literature. Few studies currently exist that focus on their relationship in supply chain management. This study investigates the relationships between knowledge network types/ mobilisation approaches and successful lean performance outcome using fuzzy-set qualitative co...

Fuzzy-set Qualitative Comparative Analysis (fsQCA) is a relatively new but accepted method for understanding case-based research. The technique utilizes a holistic perspective exploring the similarities and differences across cases. Theory and evidence are linked by the presence and absence of outcomes in configurations of causal conditions allowing for the assessment of the multiple conjunctio...

We present QCA, a package for performing Qualitative Comparative Analysis (QCA). QCA is becoming increasingly popular with social scientists, but none of the existing software alternatives covers the full range of core procedures. This gap is now filled by QCA. After a mapping of the method’s diffusion, we introduce some of the package’s main capabilities, including the calibration of crisp and...

We present some similarity and distance measures between intuitionistic fuzzy sets (IFSs). Thus, we propose two semi-metric distance measures between IFSs. The measures are applied to classification of shapes and handwritten Arabic sentences described with intuitionistic fuzzy information. The experimental results permitted to do a comparative analysis between intuitionistic fuzzy similarity an...

While there has been a proliferation of academic interest in ‘democratic innovations’, most empirical analysis tends to rely on single case studies. Very little attention has been given to either comparative analysis of innovations or the conditions under which they emerge and are sustained. Recent studies of participatory budgeting (PB) have begun to utilise cross-case analysis in an attempt t...

This study aims to explain how value co-creation, between customers and companies, and key aspects of trust combine to influence customers’ purchase intentions in social commerce. Value co-creation is decomposed into two attributes, behavioral alignment, and empowerment and control, while trust is measured through the aspects of trusting beliefs, institutional trust, and disposition to trust. I...

Triangular intuitionistic fuzzy number (TIFN) is a more generalized platform for expressing imprecise, incomplete, and inconsistent information when solving multi-criteria decision-making problems, as well as for expressing and reflecting the evaluation information in several dimensions. In this paper, the TIFN has been applied for solving multi-criteria decision-making (MCDM) problems, first, ...