Development of a model to analyze the overall judgment of similarity and its evaluation

为了探索整体判断相似或不相似的复杂方面，本研究旨在建立模型和标度方法，并对其进行评价。首先发现整体判断过程与（非）相似判断、知觉过程、认知过程、语境效应、频率效应等多方面有关。接下来，在这些发现的基础上，提出了一个一般模型来分析结构和这些方面涉及的整体判断。在此基础上，提出了一种基于非线性优化方法的多维标度模型参数估计方法。最后，通过蒙特卡罗研究对算法进行了评价，表明了模型和标度方法的实用性。本研究是通过示范应用研究完成的。

In order to explore the complex aspects in the overall judgment of similarity or dissimilarity, this research aimed to develop a model and the scaling method and also to evaluate them.First it was found that the overall judgment process is related to many aspects such as (dis)similarity judgment, perceptual process, cognitive process, context effects, frequency effect. Next, on the basis of those findings, a general model was proposed to analyze the structure and those aspects involved in the overall judgment. A new method of multidimensional scaling was then developed to estimate the model parameters, by using nonlinear optimization methods. Finally, the algorithms were evaluated through a Monte Carlo study, which indicated practical applicability of the model and the scaling method. This research was accomplished by demonstrating application studies.