this article aims to identify what and how factors influence management of supply risk in automotive industry supply chain. based on grounded theory and 13qualitative in-depth interviews with 10 managers in iran's automotive industry supply chain, a theoretical framework is developed to examine antecedents and effective factors of this process. this framework suggests a broad range of fact...

Customers are the important strategic resources for the companies in E-commerce market, understanding customer’s consumption characteristics as soon as possible becomes more important for companies to win in a competitive online market. The paper tries to construct a model to represent the customer’s consumption characteristics based on a little information about this customer’s purchase behavi...

Missing value is a challenging issue in data mining, as information deficiency negatively affects both data quality and reliability. This paper focuses on an algorithm of a fuzzy clustering approach for missing value imputation with noisy data immunity. The PCFKMI (Pre-Clustering based Fuzzy K-Means Imputation) method aggregates data instances to more accurate clusters for further appropriate e...

A sketch of classification reasoning is given in the paper. The key ideas of the reasoning are ideas of classification and its good approximations based on good diagnostic tests. Such good tests, which are maximally redundant (GMRTs), i.e. their subsets of attributes are closed, are considered. Classification reasoning embraces two interrelated processes: inductive inferring implicative asserti...

Graph neural networks (GNNs) have demonstrated a significant success in various graph learning tasks, from classification to anomaly detection. There recently has emerged number of approaches adopting pooling operation within GNNs, with goal preserve attributive and structural features during the representation learning. However, most existing operations suffer limitations relying on node-wise ...

This article describes the adjective class in Quechua, countering many previous accounts of the language as a linguistic type with no adjective/noun distinction. It applies a set of common crosslinguistic criteria for distinguishing adjectives to data from several dialects of Ecuadorian Highland Quechua (EHQ), analyzing examples from a natural speech audio/video corpus, speaker intuitions of gr...

This paper aims to provide support for the view that individual concepts are basic to natural language semantics. First, the use of constant individual concepts allows us to maintain Kripke’s view of proper names as nondescriptional rigid designators in the face of problems created by so-called “empty names.” And second, the distinction between constant and variable individual concepts can func...

This study is a first attempt to unravel the almost unexplored domain of abstract conceptual knowledge. Four kinds of abstract concepts (nominal kinds, states of the self, cognitiveconcepts (nominal kinds, states of the self, cognitive processes, and emotion concepts) were investigated in two experiments. Emotion concepts displayed a specific pattern in both concreteness/abstractness and imager...

Objective: The main goal of this research was to study the rate of cognitive reconstructive effect on attribution style and girl students’ academic performance at high school in Khalkhal. Pre-test and post-test experimental designs with control group were used in this study. Thirty high school girl students were chosen randomly in 2 groups including 15 persons in experimental group and 15 perso...

One of the major issues of semantic web is the discovery and identification of the best service that responds to a user request. In this article we specify a semantic web services composition model built through an ontology described in the logical description language ALN (Attributive Language with unqualified Number restrictions). We then show a method for automatic discovery of semantic web ...