The training time of ANN depends on size of ANN (i.e. number of hidden layers and number of neurons in each layer), size of training data, their normalization range and type of mapping of training patterns (like X–Y, X–DY, DX–Y and DX–DY), error functions and learning algorithms. The efforts have been done in past to reduce training time of ANN by selection of an optimal network and modificatio...

In this paper, we propose a fuzzy case-based reasoning system, using a case-based reasoning (CBR) system that learns from experience to solve problems. Different from a traditional case-based reasoning system that uses crisp cases, our system works with fuzzy ones. Specifically, we change a crisp case into a fuzzy one by fuzzifying each crisp case element (feature), according to the maximum deg...

This paper provides an innovative segmentation approach stemming from the combination of cluster analyses and fuzzy learning techniques. Our research provides a real case solution in the Spanish energy market to respond to the increasing number of requests from industry managers to be able to interpret ambiguous market information as realistically as possible. The learning stage is based on the...

There are a variety of approaches to the problem predicting educational enrolment. However, none them can be used when historical data linguistic values. Fuzzy time series is an efficient and effective tool deal with such problems. In this paper, forecast enrolment pre-primary, primary, secondary, tertiary schools in Malaysia carried out using fuzzy approaches. A model developed dataset collect...

There are a number of decision making problems in which Geographical Information System (GIS) has employed to organize and facilitate the procedure of analyzing the problem. These GIS-based decision problems which typically include a number of different criteria and alternatives are generally analyzed by Multicriteria Decision Analysis (MCDA).Different locations within a geographical area repre...

The report of the World Health Organization (WHO) about poor accessibility people living in low-to-middle-income countries to medical facilities and personnel has been a concern both professionals nonprofessionals healthcare. This led high morbidity mortality rates tropical regions, especially when such disease presents itself with confusable symptoms that are not easily differentiable by inexp...

The Analytic Hierarchy Process (AHP) model was designed by Thomas L.Saaty (Saaty, 1980) in 1970s as a decision making aid. It is especially suitable for complex decisions which involve the comparison of decision elements which are difficult to quantify. It is based on the assumption that when faced with a complex decision the natural human reaction is to cluster the decision elements according ...

Recently, a very beautiful measure of the unsharpness (fuzziness) observables is discussed in paper [Phys. Rev. A 104, 052227 (2021)]. The which defined this constructed via uncertainty and does not depend on values outcomes. There exist several properties set (e.g., incompatibility, non-disturbance) that do Therefore, approach above-said consistent with above-mentioned fact able to intrinsic o...

The proposed study addresses a two-echelon sustainable supply chain (SC) model with single-vendor and single-buyer by considering the detrimental impacts of environmental pollution due to production. Moreover, an estimation function measure production is developed through separate modelling. In entire chain, we assume deterioration rate increases time it also depends on product’s expiration dat...

This paper presents an economic order quantity (EOQ) inventory model for imperfect quality items with receiving a reparative batch and overlapping in dense fuzzy environment Here, the are identified by screening divided into either scrap or reworkable items. The kept store until next received. Afterwards, returned to supplier be reworked. Also, discount on purchasing cost is employed as offer o...