基于概念外延的用户认知表达-——以智能冰箱的用户认知研究为例

--用户认知具有主观性、模糊性、进化性及多维性等不确定性特点,难以编码与度量。提出以概念外延表达的集合论方法与模糊数学把研究用户认知转换成研究代表它的因素集合;提出用数据驱动的互联网文本挖掘获取因素集,采用TF-IDF与模糊统计求解因素的隶属度,完成用户认知的数学表达,为进一步研究提供数学基础;最后以海信智能冰箱项目进行论证。由于用户认知属于典型的不确定性复杂对象,论文所用方法适用于所有复杂对象的建模与求解。     

Similarity based approximate reasoning: fuzzy control

This paper presents an approach to similarity based approximate reasoning that elucidates the connection between similarity and existing approaches to inference in approximate reasoning methodology. A set of axioms is proposed to get a reasonable measure of similarity between two fuzzy sets. The similarity between the fact(s) and the antecedent of a rule is used to modify the relation between the antecedent and the consequent of the rule. An inference is drawn using the well-known projection operation on the domain of the consequent. Zadeh's compositional rule of inference and existing similarity based reasoning techniques are considered for a new similarity based approximate reasoning technique. The proposed mechanism is used to develop a modified fuzzy control system. A new defuzzification scheme is proposed. Simulation results are presented for the well-known inverted pendulum problem.     

Hybrids of the -translation for

In [W. Burr, Functional interpretation of Aczel's constructive set theory, Annals of Pure and Applied Logic 104 (2000) 31–73] Wolfgang Burr presents a functional interpretation of constructive set theory in all finite types, , in a theory of constructive set functionals. is a subtheory of , containing bounded quantifiers only. His interpretation theorem reduces the consistency problem of (and certain extensions thereof) to the consistency problem of .We want to study admissible rules in , i.e. rules under which is closed. To do so, we study a Troelstra-style q-hybrid of, in fact, a modification ^× of Burr's translation. We introduce this modification in order to close a minor gap in Burr's proof of the functional interpretation of the schema of (Strong Collection).First of all, but surely after a short introduction, we analyse the less complex translation of modified realisation ^mr and its hybrids ^mq and ^mrt.     

False recollection in children with reading comprehension difficulties

Children with reading comprehension difficulties display impaired performance on semantic processing tasks. These impairments are assumed to reflect weaker knowledge about abstract semantic associations between words in poor comprehenders [Nation, K., and Snowling, M. (1999). Developmental differences in sensitivity to semantic relations among good and poor comprehenders: evidence from semantic priming. Cognition, 19, B1-B13.]. We examined the performance of poor comprehenders on the Deese/Roediger/McDermott (DRM) paradigm. Children studied spoken words that were semantic associates (e.g., bed, rest, and awake) or phonological associates (e.g., pole, bowl, and hole) followed by free recall and a recognition test containing nonstudied critical words (e.g., sleep and roll). Results showed reduced recall and recognition of critical words in the semantic condition but not in the phonological condition for poor comprehenders. We argue that poor comprehenders are less sensitive to abstract semantic associations between words because of reduced gist memory.     

Detecting local convexity on the pareto surface

Recent regain in interest in multi‐criteria optimization approaches to provide a designer with multiple solutions to select from and support decisions has led to various methodologies to generate such solutions and possibly approximate the Pareto set. This paper introduces the notions of H‐ and w‐convexities, and develops a simple method to identify local convexity of Pareto hyper‐surfaces since their shape can dictate the choice of the method to use to obtain Pareto solutions and possibly to build an approximation of that set. The method is based on comparing the results from the weighting method to those of the Tchebycheff method at any point on the Pareto hyper‐surface. If, under some conditions, the points obtained from the two methods are identical or not, a local convexity or its lack can be assumed at that location and in its immediate neighbourhood. A numerical example is included. Copyright © 2002 John Wiley & Sons, Ltd.     

动机与情境对不同自控水平儿童学业求助的影响

本实验以小学儿童为被试,研究了在不同动机取向和情境条件下的不同自我控制水平儿童的学业求助行为。结果表明：（１）单独无自尊压力的解难题情境比群体压力情境导致更多的求助行为。（２）低自控儿童比高自控儿童产生更多的执行性求助,但主要表现在单独无自尊压力的情境下。（３）在群体压力情境下,自我卷入的儿童比任务卷入的儿童表现出更多的求助行为。（４）在单独无自尊压力的情境下,任务卷入的儿童比自我卷入的儿童表现出     

Part‐set cueing effects in a diagnostic setting with professional auditors

The aim of this research is to examine the generality of the part‐set cueing effect, a well‐known memory‐inhibition phenomenon in basic research, to professional problem diagnosis. Three experiments were conducted. Experiment 1 examines whether part‐set cueing affects the ability of auditors to recall diagnoses, and if so, whether memory inhibition is affected by the plausibility of the hypotheses. Experiment 2 examines whether the part‐set cueing effect is sensitive to changes in the symptoms that drive the diagnosis and whether differences in inhibition occur because of prompt plausibility or because of target plausibility. Experiment 3 extends the findings of the first two experiments to hypothesis generation and discriminates between competing accounts for the part‐set cueing effect. The results show that part‐set cueing effects occur during hypothesis generation and that they are robust to changes in the symptoms. However, the results from the experiments reveal an asymmetric inhibition effect. Inhibition is significant when prompts contain low plausibility hypotheses that are also high in severity. When prompts consist of high plausibility or low severity hypotheses, no inhibition is observed. These findings are considered to be consistent with an editing account of the part‐set cueing phenomenon. The implications of these findings to problem diagnosis and decision aids are discussed. Copyright © 1999 John Wiley & Sons, Ltd.     

Multiple-criteria decision aid: Some epistemological considerations

This paper attempts to analyse in a critical way some essential aspects of the multiple-criteria decision aid (MCDA) methodology using modern epistemological instruments. Particular attention is paid to the problem of information precision and uncertainty and to the distinction considered essential between the concepts of choice and decision. Since it is maintained that the respect of subjectivity in decision aid is of fundamental importance, an analysis follows of the main approaches by which MCDA methods attempt to take the subjective component of the decision maker into account, indicating some characteristics which may be desirable in an MCDA model for this purpose.     

In search of cognitive equilibrium: Beauty,quality and harmony

The field of MCDM should become significantly concerned about problems that are also qualitative, ‘messy’, fuzzy or not well-defined—they abound in human systems. Dealing exclusively with quantitatively well-defined problematique (the proverbial ‘finding the shortest path’) is part of the unidimensional legacy of OR/MS: it programmatically neglects attributes of beauty, quality, harmony, aesthetics, safety and reliability. Yet these are the criteria which are ardently sought after by modern humans, while being mostly ignored or neglected by modern technocrats.     

Real-time detection of the interaction between an upper-limb power-assist robot user and another person for perception-assist

Assisting aged population or a population with disabilities is a critical problem in today’s world. To compensate for their declined motor function, power-assist wearable robots have been proposed. In some cases, however, the cognitive function of these populations may have declined as well, and it may be insufficient to compensate only for their motor function deficiency. Perception-assist wearable robots, which can perceive environmental information using visual sensors attached to them, have been proposed to address this problem. This study addresses the problem of identifying motion intentions of the user of an upper-limb power-assist wearable robot, while the user engages in desired interactions with others. It is important to consider both the interacting parties in order to accurately predict proper interaction. Therefore, this paper presents an interaction recognition methodology by combining both the user’s motion intention and the other party’s motion intention with environmental information. A fuzzy reasoning model is proposed to semantically combine the motion intentions of both parties and environmental information. In this method, the motion intentions of both the user and the other party are simultaneously estimated using kinematic information and visual information, respectively, and they are employed for predicting the interactions between both parties. The effectiveness of the proposed approach is experimentally evaluated.