DSpace collection: 第27卷第1期

Mathematical Computation of Fuzzy Statistics for Sensory Evaluation

Tue, 17 Jan 2017 03:12:19 GMT

title: Mathematical Computation of Fuzzy Statistics for Sensory Evaluation abstract: Sensory evaluation is an essential need for accepting processed food products having desired quality specifications. Human perceived sensation depends on physiological and physical properties of food as well as demographic characters of consumers. In this paper, a mathematical computation method of fuzzy statistics for sensory evaluation is proposed. It illustrates the quality of sensory variables such as color, texture, flavor, taste etc. of a product with consumers’ demographic characters on a hedonic scale.

Bus Service Model with Rectangular Service Zone under Exponential Relation

Tue, 17 Jan 2017 03:08:28 GMT

title: Bus Service Model with Rectangular Service Zone under Exponential Relation abstract: Most researchers developed bus service models with a rectangular service zone that re- lations among different costs are related by a linear relation. A bus service model had been constructed with a rectangular service zone where costs are synthesized by an exponential relation. An accepted paper had point out that a previous model without capacity constraint is unreasonable. This paper examines another model with capacity constraint to show that previous formulated optimal solution contains questionable findings and then we provide our solution approach. The key feature of our paper is to point out that using the route width as a continuous variable will derive unreasonable results. Our improved approach is to use the partition number for the zone width as a discrete variable. A numerical example is provided to illustrate our proposed approach.

Smartphone Market Analysis Using Dynamic Multi-Criteria Decision Methods

Tue, 17 Jan 2017 03:05:40 GMT

title: Smartphone Market Analysis Using Dynamic Multi-Criteria Decision Methods abstract: The iPhone introduced an innovative multi-touch interface to satisfy customers’ attractive requirements. Thereafter, most smartphone manufacturers begin to mimic this innovation in their new generation products for a dramatically increasing demand market. Although the smartphone market includes many types and functions of products, there are no smart- phone selection methods to support customers to select an effective smartphone. In order to cope with such a problem, this paper proposes a multi-criteria selection method to evaluate operating systems and hardware and software specifications using AHP and SMART-ROC, respectively. For illustration, this paper uses the proposed methods to analyze the customer utility and benefit-cost of 24 popular smartphones in the market. The results show that the most popular smartphone does not have the best cost-benefit. This paper suggests customers select smartphones by referring to the cost-benefit approach except when they are looking for a communications product for a special purpose.

A Hybrid Approach for Knowledge Recommendation

Tue, 17 Jan 2017 03:02:19 GMT

title: A Hybrid Approach for Knowledge Recommendation abstract: Knowledge sharing is critical to knowledge management as it enables employees to share their knowledge. However, knowledge searching is a very time-consuming work. Additionally, in the context of an unsolved puzzle or unknown task, users typically have to determine the knowledge for which they will search. Therefore, knowledge management platforms for enterprises should have knowledge recommendation functionality. Hybrid recommendation systems (RS) have been developed to overcome, or at least to mitigate, the limitations of collaborative filtering. Because Genetic Algorithm (GA) is good at searching, it can cluster data according to similarities. However, the increase in the amount of data and nformation reduces the performance of a GA, thereby increasing cost of finding a solution. This work applies a novel method for incorporating a GA and rough set theory into clustering. In this paper, this work presents a hybrid knowledge recommendation model, which has a two-phase model for clustering and recommending. Approach implementation is demonstrated, as are its effectiveness and efficiency.

Efficient Method for Testing the Batch-Processing Process Yield

Tue, 17 Jan 2017 02:57:00 GMT

title: Efficient Method for Testing the Batch-Processing Process Yield abstract: Batch manufacturing processes have been widely used in various manufacturing processes, such as wafer fabrication, IC fabrication, and gridline printing process in the solar battery fabrication. In a batch manufacturing process, products are produced batch-by-batch. Thus, total process variations are generally divided into batch-by-batch variation and within-batch variation. The main purpose of this study is to provide an efficient method for testing the batch-processing process yield. Base on the one-way random effect model, the generalized pivotal quantity is utilized to establish the generalized confidence interval for assessing the process yield index. By simulations, the proposed method shows that its empirical coverage probability is not affected by the batch effect, and is still close the nominal coverage probability as the batch size increases.