Optimal Fuzzy Model Construction with Statistical Information using Genetic Algorithm

Fuzzy rule based models have a capability to approximate any continuous function to any degree of accuracy on a compact domain. The majority of FLC design process relies on heuristic knowledge of experience operators. In order to make the design process automatic we present a genetic approach to learn fuzzy rules as well as membership function parameters. Moreover, several statistical information criteria such as the Akaike information criterion (AIC), the Bhansali-Downham information criterion (BDIC), and the Schwarz-Rissanen information criterion (SRIC) are used to construct optimal fuzzy models by reducing fuzzy rules. A genetic scheme is used to design Takagi-Sugeno-Kang (TSK) model for identification of the antecedent rule parameters and the identification of the consequent parameters. Computer simulations are presented confirming the performance of the constructed fuzzy logic controller

Kinetics & Mechanism of Oxidation of Nitrilotriacetic Acid with Aquo Cobaltic Ions

1054-106

E-Commerce Model based on Fuzzy Based Certain Trust Model

Trustworthiness especially for service oriented system is very important topic now a day in IT field of the whole world. There are many successful E-commerce organizations presently run in the whole world, but E-commerce has not reached its full potential. The main reason behind this is lack of Trust of people in e-commerce. Again, proper models are still absent for calculating trust of different e-commerce organizations. Most of the present trust models are subjective and have failed to account vagueness and ambiguity of different domain. In this paper we have proposed a new fuzzy logic based Certain Trust model which considers these ambiguity and vagueness of different domain. Fuzzy Based Certain Trust Model depends on some certain values given by experts and developers can be applied in a system like cloud computing, internet, website, e-commerce, etc. to ensure trustworthiness of these platforms. In this paper we show, although fuzzy works with uncertainties, proposed model works with some certain values. Some experimental results and validation of the model with linguistics terms are shown at the last part of the paper

Structure, Morphology and Opto-Electrical Properties of Nanostructured Indium Doped SnO2 Thin Films Deposited by Thermal Evaporation

Indium doped Tin oxide (SnO2: In) thin films of various thicknesses (200-600 nm) with fixed 2% indium (In) concentration were prepared by thermal evaporation method onto glass substrates under high vacuum (10-6 Torr). As deposited films were vacuum annealed at 200o C for 60 minutes. The structure, optical, electrical and morphology properties of SnO2: In thin films were investigated as a function of film thickness. The XRD analysis revealed that films were polycrystalline in nature with a tetragonal structure having (110) plane as the preferred orientation. The average crystalline size increased from 34.8 to 51.25 nm with increase of film thicknesses. The surface morphology of the doped films was obtained by Atomic Force Microscopy (AFM) and Field Emission Scanning Electron Microscope (FESEM). Optical transmittance was obtained from a double beam UV-Vis- NIR spectrophotometer. Maximum transmittance varied from 65-76% in the visible range of the spectrum. Optical band gap (Eg) varied between 2.89 and 3.20 eV. The resistivity of SnO2: In thin films was as high as 105 Ω-cm. Activation energy of the films were found to be 0.18 to 0.47 eV for 300-600 nm film thicknesses. Due to high optical band gap and high electrical resistivity, these nanostructured films can be used in optoelectronic devices especially as opto-insulator

Mathematical modeling and trajectory planning of hand finger movements

This paper presents a mathematical model of trajectory during movement of human hand finger. Mathematical models of finger’s movement are necessary to control the finger of prosthetic hands, rehabilitation platform, and hand of cooperative robots. A simple platform is constructed with flexi force sensor and data acquisition circuit. Trajectories are calculated from the position data of the finger movement. Movement with various speed of the finger are maintained. Finally, Curve Fitting Toolbox of MATLAB is used to derive the mathematical model of finger trajectory. The obtained result could be beneficial to design the controller of the finger of prosthetic hands, rehabilitation platform, and hand of cooperative robots

A critical assessment of prevailing models for measuring lean manufacturing

Lean Manufacturing (LM) is a thought developed in Toyota, thus, there is lack of studies investigated whether the implementation of LM is appropriate for different enterprises’ or not because of different organizational and social culture of enterprises and labor. This paper critically analyzes eleven prevailing models for LM in an attempt to find a unified model that can be applied inside enterprises. In the literature several models have a tendency to focus only on a few single components. However, different enterprises use diverse dimensions and models for measuring LM. It aims to review the various LM models prevailing in the contemporary research papers along with presentation of an in-depth analysis exploring the similar and dissimilar aspects. The dimensions of the LM models adopted by different enterprises are quite diverse as revealed through this investigation. The contribution of this review is twofold: various models for LM are critically analyzed followed by a comparative evaluation with a vision to propose a potential model for LM that is applicable for manufacturing enterprises. Results show that the unified model comprises of 11 components for LM initiated from the principles of Toyota Production System (TPS)

Linkages of QMS and soft EMS: perceptions of operations managers as modelled by SEM

Empirical studies in the contemporary operations management (OM) literature are found to be inadequate to explore whether the two ISO management standards namely, quality management system (QMS) and environmental management system (EMS) are integrated together in the same enterprise or not. This paper aims at investigating the linkages among QMS and soft EMS and establishing their associative relationships. In this context, a conceptual model is initially developed and subsequently examined in the Malaysian manufacturing industries in an empirical manner. The primary data, gathered from a sample of 329 Malaysian industries through a structured questionnaire, were analysed using techniques from both SPSS 22 and structural equation modelling (SEM). Both principal component analysis (PCA) and confirmatory factor analysis (CFA) were utilised. Findings show that the postulated hypothesis is both statistically and practically significant. Hence, the hypothesis is supported which reflects that both ISO standards (QMS and Soft EMS) can be integrated together in the same enterprise, and reiterates provisions for manufacturers to endure practicing these management standards to sustain their operations

Critical success factors for soft TQM and lean manufacturing linkage

Implementation of Total Quality Management (TQM) and Lean Manufacturing (LM) is a common goal for manufacturers to be leaner. While many studies have investigated TQM and LM separately, the present paper explores the Critical Success Factors (CSF) for these practices together in one model focusing on the soft dimension of TQM. A structured closed questionnaire was distributed to operations managers in Malaysian industries. A 5-point Likert scale was used in designing the survey questionnaire. One hundred and two responses were collected in this preliminary study. Results obtained through Principal Component Analysis (PCA) showed that both latent contracts are reliable. Both KMO and Bartlett's test were measured to ensure the adequacy of the practices. Three CSF (3) were extracted for Soft TQM aspects while Seven (7) factors were extracted for LM practices. Results obtained from PCA indicated that Malaysian managers are involved with LM wastes, Kaizen, Just in Time, continuous flow, TPM, Workforce Management, standardized work practices, strategic planning and human aspects. The novelty of the present study stems from the realization of TQM and LM aspects that determine the priorities of Malaysian managers in manufacturing environment by providing guidelines about the most important factors to adopt

Transforming strategies in the digital era: The role of social media in customer value analysis and crisis management for tourism firms

Social media is gaining popularity nowadays and is increasingly being used by many small and large organisations. Organisations are adopting new social platforms and technologies to achieve their key and effective management strategies. However, there are still opportunities to explore the role of new technologies in developing useful strategies. In current research, the utilisation of technological tools especially social media was examined to improve the customer value analysis in the organisations. Besides, the research of social media use for crisis management is also increasing and the relevant strategies are still being-investigated. To overcome this gap, this research aims to evaluate the impact of the use of social media on customer value analysis and crisis management. To attain this, a detailed questionnaire was adapted from several different studies. Data were collected from a diverse targeted sample of tourism-related firms from all over Malaysia, including hotels, resorts, travel agencies and transportation companies. The model was tested using Smart PLS software and the results were generalised. Overall, this research will add a noteworthy contribution to the literature by highlighting the significance of social media and recognising its urgency during crisis for businesses. It will also help in answering questions regarding the role of social media usage towards customer value analysis and crisis management of organisations in the Malaysian tourism sector. Moreover, the practitioners will use the findings to make strategies for crisis management and build customer value chain