In this paper, we present modified fuzzy goal programming (FGP) approach and generalized MATLAB program for solving multi-level linear fractional programming problems (ML-LFPPs) based on with some major modifications in earlier FGP algorithms. In proposed modified FGP approach, solution preferences by the decision makers at each level are not considered and fuzzy goal for the decision vectors i...

The scarcity of water resources and supply resources limitation, have caused an increasing gap between water supply and demand specially in recent decades in almost all regions of the globe. One of the best known solutions proposed by the economists is using the different water pricing approaches thereby obtaining the optimal allocation and social justice. To this purpose, this paper uses the p...

This paper proposes the use of maximum entropy techniques for text classification. Maximum entropy is a probability distribution estimation technique widely used for a variety of natural language tasks, such as language modeling, part-of-speech tagging, and text segmentation. The underlying principle of maximum entropy is that without external knowledge, one should prefer distributions that are...

Minimum-entropy decoding is a universal decoding algorithm used in decoding block compression of discrete memoryless sources as their multiterminal counterparts, such as the Slepian-Wolf problem. It has recently been shown that such an algorithm can be applied for combined distributed compression and distributed routing in a randomized distributed network coding framework. The ‘method of types’...

Abstract Soil carbon diversity can be an important property for the stability of soil carbon. A problem is lack techniques measuring this diversity. I suggest here use a combination general statistical principle, MAXimum ENTropy (MaxEnt), and mechanistic model organic matter decomposition, Q model. The provides temporal development average quality litter amount C, which applied in MaxEnt calcul...