Fuzzy logic is achieved by formulating a rule base which is based on experience gathered by human operators. Those systems which cannot be modeled mathematically benefit most from Fuzzy control strategy since the imprecise data can be captured by using linguistic data in the rule-base. Fuzzy logic has certain disadvantages. The number of computations required for arriving at a certain output fo...

Abstract The aim of this research work is to come out with an inventory model without shortages involving set-up cost and holding as imprecise variables. uncertainty chosen fuzzy number in triangularized form the graded mean integration method applied defuzzify parameters. effect defuzzification explained by analyzing for different input values through numerical examples.

Software quality requirements are essential part for the success of software development. Defined and guaranteed quality in software development requires identifying, refining, and predicting quality properties by appropriate means. Goal models of goal oriented requirements engineering (GORE) and quality models are useful for modelling of functional goals as well as for quality goals. Once the ...

This paper proposes financial time-series forecasting using a feature selection method based on the non-overlap area distribution measurement method supported in a neural network with weighted fuzzy membership functions (NEWFM) and the TakagiSugeno (T-S) fuzzy model. The non-overlap area distribution measurement method selects the minimum number of features with the highest performance by remov...

Vendor-managed inventory (VMI) is a popular policy in supply chain management (SCM) to decrease bullwhip effect. Since the transportation cost plays an important role in VMI and because the demands are often fuzzy, this paper develops a VMI model in a multi-retailer single-vendor SCM under the consignment stock policy. The aim is to find optimal retailers' order quantities so that the total inv...

This study emphasizes the use of type-2 fuzzy (T2-Fuzzy) to improve the adaptive proportional-integrative-derivative (PID) control in the lower extremities. Several problems were identified from previous studies and those were the slow achievement of the target angle and the presence of oscillation in the achievement of the target blade. The oscillation occurred as the consequence of deploying ...

This paper discusses the issues of action aggregation and defuzziŽ cation in Mamdani-type fuzzy systems. The paper highlights the shortcomings of defuzziŽ cation techniques associated with the customary interpretation of the sentence connective ‘and ’ by means of the set union operation. These include loss of smoothness of the output characteristic and inaccurate mapping of the fuzzy response. ...

Land ownership for Orang Asli is established under the Aboriginal Peoples Act of 1954 (Act 134). However, this provision does not protect Asli’s position in terms land ownership. This has led to claim after as a result competitiveness and conflict that arise development. The objectives research were analyze elements communal from an expert's perspective using Fuzzy Delphi method. method was use...

In this paper we show how combining fuzzy sets and reinforcement learning a winning agent can be created for the popular Pac-man game. Key elements are the classification of the state into a few fuzzy classes that makes the problem manageable. Pac-man policy is defined in terms of fuzzy actions that are defuzzified to produce the actual Pac-man move. A few heuristics allow making the Pac-man st...