Design of a Fuzzy Logic Controller (FLC) requires more design decisions than usual, for example rule base, inference engine, defuzzification, and data preand post processing. This project is a humble effort to implement an FLC using VHDL for motor control. There are three parts to fuzzy controller, the fuzzification of the inputs, the defuzzification of the outputs, and the rule base. The contr...

This paper offers a new technique for designing fuzzy controllers as analog hardware devices on bases of CMOS implementation of multi-valued logical functions. This approach is based on using a summing amplifier with saturation as a building block that can be considered as a multi-threshold logical element. The functional completeness in an arbitrary-valued logic of a summing amplifier with sat...

We propose a reformulation of the problem of making a decision with multiple objectives in terms of fuzzy scores and their consistent defuzzification, with respect to the logical point of view taken into account. The objectives are seen as subsets (or events) of a universal set U and the degree to which an alternative Ai satisfies the objective Oj is a conditional fuzzy event Ai|Oj , represente...

One of the tofu-producing companies in Kupang City is Bintang Oesapa. With Covid-19 pandemic,the factory needs to reconsider amount production by taking into account unpredictability ofdemand and resources minimize losses due excessive accumulation or shortages supplies. Indetermining production, Mamdani’s Fuzzy Inference System (FIS) can be used, whichis a method for analysis an uncertain syst...

This paper proposes a new multi-criteria decision analysis (MCDA) model that uses a series of existing intuitive and analytical methods to systematically capture both objective and subjective beliefs and preferences from a group of decision makers (DMs). A defuzzification method that combines entropy and the theory of displaced ideal synthesizes crisp values from the DMs’ subjective judgments. ...

We propose a new illumination normalization for face recognition which robust in relation to the illumination variations on mobile devices. This research is novel in the following five ways when compared to previous works: (i) a new fuzzy‐based Retinex method is proposed for illumination normalization; (ii) the performance of face recognition is enhanced by deter...

In today’s changing environment two properties are required to service namely good relation with customers and service quality. Nowadays no organization can get great achievement unless it can attract sufficient customers providing better service quality is important for service firms. This paper proposes a novel combined approach utilizing group decision making process to evaluate and rank cri...

This paper analysis single-period inventory models with discrete demand under fuzzy environment. In the proposed models three different cases are examined. In the first case, demand is represented by a triangular fuzzy number and a discrete membership function. In the second case, demand is a stochastic variable while inventory costs such as unit holding cost and unit shortage cost are imprecis...

This paper describes the development and tuning methods for a novel self-organizing fuzzy proportional integral derivative (PID) controller. Before applying fuzzy logic, the PID gains are tuned using a conventional tuning method. At supervisory level, fuzzy logic readjusts the PID gains online. In the first tuning method, fuzzy logic at the supervisory level readjusts the three PID gains during...

Failure mode and effects analysis (FMEA) has been extensively used for examining potential failures in products, processes, designs and services. An important issue of FMEA is the determination of risk priorities of the failure modes that have been identified. The traditional FMEA determines the risk priorities of failure modes using the so-called risk priority numbers (RPNs), which require the...