Informatica (lithuanian Academy of Sciences) 

About: Informatica (lithuanian Academy of Sciences) is an academic journal published by IOS Press. The journal publishes majorly in the area(s): Computer science & Fuzzy logic. It has an ISSN identifier of 0868-4952. Over the lifetime, 1952 publications have been published receiving 26790 citations.

Supervised Machine Learning: A Review of Classification Techniques

Abstract: The goal of supervised learning is to build a concise model of the distribution of class labels in terms of predictor features. The resulting classifier is then used to assign class labels to the testing instances where the values of the predictor features are known, but the value of the class label is unknown. This paper describes various supervised machine learning classification techniques. Of course, a single chapter cannot be a complete review of all supervised machine learning classification algorithms (also known induction classification algorithms), yet we hope that the references cited will cover the major theoretical issues, guiding the researcher in interesting research directions and suggesting possible bias combinations that have yet to be explored.

Multi-Criteria Inventory Classification Using a New Method of Evaluation Based on Distance from Average Solution (EDAS)

Abstract: An effective way for managing and controlling a large number o f inventory items or stock keeping units (SKUs) is the inventory classification. Tradi tional ABC analysis which based on only a single criterion is commonly used for classification of SKU s. However, we should consider inven- tory classification as a multi-criteria problem in practice . In this study, a new method of Evaluation based on Distance from Average Solution (EDAS) is introduced for multi-criteria inventory clas- sification (MCIC) problems. In the proposed method, we use po sitive and negative distances from the average solution for appraising alternatives (SKUs). To represent performance of the proposed method in MCIC problems, we use a common example with 47 SKUs. Comparing the results of the proposed method with some existing methods shows the good performance of it in ABC classifica- tion. The proposed method can also be used for multi-criteria decision-making (MCDM) problems. A comparative analysis is also made for showing the validity and stability of the proposed method in MCDM problems. We compare the proposed method with VIKOR, TOPSIS, SAW and COPRAS methods using an example. Seven sets of criteria weights and Spearman's correlation coefficient are used for this analysis. The results show that the proposed method is stable in different weights and well consistent with the other methods.

Issues in multiagent resource allocation

Abstract: Issues in Multiagent Resource Allocation Yann Chevaleyre, Paul E. Dunne, Ulle Endriss, Jerome Lang, Michel Lemaitre, Nicolas Maudet, Julian Padget, Steve Phelps, Juan A. Rodrigues-Aguilar, Paulo Sousa Abstract: The allocation of resources within a system of autonomous agents, that not only have preferences over alternative allocations of resources but also actively participate in computing an allocation, is an exciting area of research at the interface of Computer Science and Economics. This paper is a survey of some of the most salient issues in Multiagent Resource Allocation. In particular, we review various languages to represent the preferences of agents over alternative allocations of resources as well as different measures of social welfare to assess the overall quality of an allocation. We also discuss pertinent issues regarding allocation procedures and present important complexity results. Our presentation of theoretical issues is complemented by a discussion of software packages for the simulation of agent-based market places. We also introduce four major application areas for Multiagent Resource Allocation, namely industrial procurement, sharing of satellite resources, manufacturing control, and grid computing.

Multi-attribute Decision Analysis in GIS: Weighted Linear Combination and Ordered Weighted Averaging

Abstract: Multi-attribute Decision Analysis in GIS: Weighted Linear Combination and Ordered Weighted Averaging

Solving Engineering Optimization Problems with the Simple Constrained Particle Swarm Optimizer

Abstract: Solving Engineering Optimization Problems with the Simple Constrained Particle Swarm Optimizer