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This paper presents the novel approach of the Norm-dist Monte-Carlo fuzzy analytic hierarchy process (NMCFAHP) to incorporate probabilistic and epistemic uncertainty due to human's judgment vagueness in multicriteria decision analysis. Normal distribution is applied as the most appropriate distribution model to approximate the probability distribution function of the criteria and alternatives within Monte-Carlo simulation. To test the applicability of the proposed NMCFAHP, the case study of non-destructive test (NDT) technology selection is performed in the Petroleum Company in Borneo, Indonesia. When compared with the conventional triangular fuzzy-AHP, the proposed NMCFAHP method reduces the standard error of mean values by 90.4-99.8% at the final evaluation scores. This means that the proposed NMCFAHP significantly involves fewer errors when dealing with fuzzy uncertainty and stochastic randomness. The proposed NMCFAHP delivers reliable performance to overcome probabilistic uncertainty and epistemic vagueness in the group decision making process.

This paper presents a techno-economic analysis for oil and gas production sharing contract (PSC) which is subjected to uncertainty from fluctuation of natural gas prices and production reservoir capacity. Net present value (NPV) is calculated based on a 10-year contract duration considering capital-operational expenditure, production sharing contract bidding value, and salvage value. The Monte Carlo method is embedded in the NPV analysis to quantify the probability of the production sharing contract's profit and loss. The result of this probability is utilized as input for determining the decision to acquire the PSC. This paper confirms that investment in the oil and gas industry is high risk. This type of investment is only suitable for companies with strong equity or financial power.

The individuals possess unique ways of how they learn. Based on this perspective, each of individuals will approach the general learning experiences in a personal and individualized way related to his/her performance and behavior. This study is to analyze the characteristics of product design using Kansei Engineering approach towards the student learning style based on Felder and Soloman's theory. Using the 8 (eight) spectacles designs proposed comparing the emotional feeling towards design of product, the study involved 100 students who are using spectacles as the respondents. Focusing on the perception and input dimensions of the Felder-Soloman learning styles comprised in 22 questions and the Crane cognitive alert styles in 9 questions, the result of study shows that the students who are using spectacles are dominated by "the visual" type of Felder-Soloman learning styles. In addition, based on the using of Kansei Engineering, this study also found that the respondents tend to interpret the rimless design of spectacles as "fragile, " "unattractive, " "old-fashion" product, while the design with thicker frame as "durable, " "attractive, " cool, " "ergonomic" product. In this study, there are also the significant correlations proved against the preferences of product design based on quality affective (Kansei Engineering) using learning styles and cognitive alert styles.

A hand is one of the essential limbs on the human body that is used for daily activities. The aim of this research is to develop a soft exoskeleton hand to assist people with hand deterioration. The developed exo-glove is made of low-cost RTV (room-temperaturevulcanizing) silicone rubber with a motor-tendon actuation system that produces the flexion and extension motion. Here, the actuator converts rotation motion into linear motion from DC motor, while a potentiometer sensor is utilized to measure therotation angle on the actuator system, in which fuzzy logic control (FLC) is employed for controlling the motion of the proposed motor-tendon actuator. To validate the function and mechanism of the developed soft exoskeleton glove, testing was conducted towards the FLC performance on the healthy human hand for various object grasping tests. Based on the test results, this studyshows that the soft glove can be implemented on the human hand as an assistive device.