Evaluation of e-learning web sites using fuzzy axiomatic design based approach

High quality web site has been generally recognized as a critical enabler to conduct online business. Numerous studies exist in the literature to measure the business performance in relation to web site quality. In this paper, an axiomatic design based approach for fuzzy group decision making is adopted to evaluate the quality of e-learning web sites. Another multi-criteria decision making technique, namely fuzzy TOPSIS, is applied in order to validate the outcome. The methodology proposed in this paper has the advantage of incorporating requirements and enabling reductions in the problem size, as compared to fuzzy TOPSIS. A case study focusing on Turkish e-learning websites is presented, and based on the empirical findings, managerial implications and recommendations for future research are offered

Materials handling equipment selection using integrated fuzzy AHP and VIKOR methods

By combining the methods for determining the relative weights of the criteria and standard methods of ranking of alternatives, one makes optimal decisions about a certain issue, regardless of the nature of the parameters that describe it. Selection of materials handling equipment for typical conditions and working environment is one of the problems of multi-criteria analysis, i.e. the selection procedure is not sufficiently structured, dependent on broad areas of knowledge, and requires the application of efficient and effective tool for decision making. The proposed methodology of equipment selection is a combination of positive experiences in the application of known methods of decision-making and their modifications (Fuzzy AHP and VIKOR). In this case, process of the forming of system alternatives and defining criteria are illustrated in a numerical example of the equipment (device) selection within the transport and handling mechanization (trucks - forklift)

Materials handling equipment selection using integrated fuzzy AHP and VIKOR methods

By combining the methods for determining the relative weights of the criteria and standard methods of ranking of alternatives, one makes optimal decisions about a certain issue, regardless of the nature of the parameters that describe it. Selection of materials handling equipment for typical conditions and working environment is one of the problems of multi-criteria analysis, i.e. the selection procedure is not sufficiently structured, dependent on broad areas of knowledge, and requires the application of efficient and effective tool for decision making. The proposed methodology of equipment selection is a combination of positive experiences in the application of known methods of decision-making and their modifications (Fuzzy AHP and VIKOR). In this case, process of the forming of system alternatives and defining criteria are illustrated in a numerical example of the equipment (device) selection within the transport and handling mechanization (trucks - forklift)

An integrated fuzzy multi criteria group decision making model for handling equipment selection

The problem of handling equipment selection plays a significant role in the total cost of a mining project; so that it can affect the activity and continuity of the project and is a strategic problem. In this study, an integrated model based on two fuzzy multi-criteria decision making techniques for handling equipment selection is proposed. The proposed evaluation model is derived from group decision making, fuzzy set theory, analytical hierarchy process (AHP), and Technique to Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The fuzzy AHP (FAHP) method is utilized to calculate the relative importance of the evaluation criteria, then, fuzzy TOPSIS (FTOPSIS) is applied for evaluating the feasible handling equipment in order to select the best handling system among a pool of the possible alternatives. The model is applied for a real world case study to demonstrate the capability and effectiveness of the proposed model. To investigate the result sensitiveness to the changes of the criteria weights, a sensitivity analysis is finally conducted

Evaluating material handling system alternatives using fuzzy - Promethee approach

Malzeme taşıma sistemlerinin doğru seçimi, üretim ortamının toplam verimliliği üzerinde önemli etkilere sahiptir. Bu önemli etki göz önüne alındığında, malzeme taşıma sistemi seçimi problemi için sistematik bir yaklaşım geliştirilmesi gerekliliği de görülmektedir. Bu çalışmada, söz konusu problem için, çok kriterli karar verme tekniklerinden biri olan PROMETHEE yaklaşımından faydalanılmıştır. Değerlendirme sürecindeki belirsizlikler ve karar vericilerden değerlendirmelerini sözel olarak almanın kolaylığı nedeniyle bulanık kümelerden faydalanılması uygun görülmüştür. Bu anlamda PROMETHEE’in bulanık sayıların kullanıldığı bir şekli tanıtılmıştır. Kullanılan metodolojinin daha net anlaşılabilmesi ve kullanışlılığının örneklenmesi için üretim sektöründen bir firmanın ambar bölümü için gerçek bir uygulama yapılmıştır.Material handling system selection process has an important effect on productivity of manufacturing systems. Considering the importance of this process, it can be seen that there is a necessity to establish a systematic approach. In this study, to determine the best material handling system alternative, PROMETHEE approach is utilized. With the aim of taking into account the vagueness in the evaluation process and obtaining decision maker evaluations in an easier way with linguistic terms, fuzzy sets are utilized. To this end, a modified version of PROMETHEE is used. To foster the better understanding of the methodology, a real life application of a manufacturer is realized

A toolset for complex decision making in analyze phase of Lean Six Sigma Project: A case validation

The analyze phase of Lean Six Sigma (LSS) project is an important phase where the project heads and organizational directors need to select the critical issues for further improvements. The present work is primarily focused on analyze phase of LSS project to prioritized the Critical to Quality (CTQs) in a particular case industry. The CTQs prioritization is being done based on the five evaluation criteria found from the literature. The weights of the criteria are determined through the Modified Digital Logic (MDL) method. The identified CTQs in assembly section of case industry have been ranked through the Grey Relation Analysis (GRA) under fuzzy environment. The results of the study have been validated using fuzzy VIKOR. It is found that the ‘cost’ criterion is the most significant among other criteria with MDL weight of 0.3. Through fuzzy-GRA, out of ten identified CTQs, non availability of rack system is found to be the most critical issue in assembly section of case industry. The perceptions of industrial manager and production head of case industry are strongly in favor of the obtained results and has implemented the suggested solutions.To sustain in the competitive environment and produce quality product at right time, organizations need to control their CTQs as per their criticality. For this, the decision making becomes quite complex to select the most critical factors due to the fascinating nature of various criteria and sub-criteria. The present study is the first attempt that has implemented the multi-criteria decision-making approach in analyze phase of LSS project

Design concept evaluation based on rough number and information entropy theory

Concept evaluation at the early phase of product development plays a crucial role in new product development. It determines the direction of the subsequent design activities. However, the evaluation information at this stage mainly comes from experts' judgments, which is subjective and imprecise. How to manage the subjectivity to reduce the evaluation bias is a big challenge in design concept evaluation. This paper proposes a comprehensive evaluation method which combines information entropy theory and rough number. Rough number is first presented to aggregate individual judgments and priorities and to manipulate the vagueness under a group decision-making environment. A rough number based information entropy method is proposed to determine the relative weights of evaluation criteria. The composite performance values based on rough number are then calculated to rank the candidate design concepts. The results from a practical case study on the concept evaluation of an industrial robot design show that the integrated evaluation model can effectively strengthen the objectivity across the decision-making processes

Real-Time Fault Detection and Diagnosis System for Analog and Mixed-Signal Circuits of Acousto-Magnetic EAS Devices

© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.The paper discusses fault diagnosis of the electronic circuit board, part of acousto-magnetic electronic article surveillance detection devices. The aim is that the end-user can run the fault diagnosis in real time using a portable FPGA-based platform so as to gain insight into the failures that have occurred.Peer reviewe