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Sample PDF
Optimization Techniques for Problem Solving in Uncertainty
Surafel Luleseged Tilahun, Jean Medard T. Ngnotchouye. © 2018. 313 pages.
When it comes to optimization techniques, in some cases, the available information from real models may not be enough to construct either a probability distribution or a membership function for problem solving. In such cases, there are various theories that can be used to quantify the uncertain...
Reference Book
Sample PDF
Advancements in Applied Metaheuristic Computing
Nilanjan Dey. © 2018. 335 pages.
Metaheuristic algorithms are present in various applications for different domains. Recently, researchers have conducted studies on the effectiveness of these algorithms in providing optimal solutions to complicated problems. Advancements in Applied Metaheuristic Computing is a crucial reference source...
Reference Book
Sample PDF
N-ary Relations for Logical Analysis of Data and Knowledge
Boris Kulik, Alexander Fridman. © 2018. 297 pages.
Mathematics has been used as a tool in logistical reasoning for centuries. Examining how specific mathematic structures can aid in data and knowledge management helps determine how to efficiently and effectively process more information in these fields. N-ary Relations for Logical Analysis of Data and...
Reference Book
Sample PDF
Exploring the Convergence of Big Data and the Internet of Things
A.V. Krishna Prasad. © 2018. 332 pages.
The growth of Internet use and technologies has increased exponentially within the business sector. When utilized properly, these applications can enhance business functions and make them easier to perform. Exploring the Convergence of Big Data and the Internet of Things is a pivotal reference source...
Reference Book
Sample PDF
Cross-Cultural Analysis of Image-Based Assessments: Emerging Research and Opportunities
Lisa Keller, Robert Keller, Michael Nering. © 2018. 166 pages.
Translation and communication between cultures can sometimes be a difficult process. Image-based assessments can offer a way for large populations to be tested on different subjects without having to create multiple testing programs. Cross-Cultural Analysis of Image-Based Assessments: Emerging Research...
Reference Book
Sample PDF
Supply Chain Network Design in Uncertain Environment: A Review and Classification of Related Models
Gholam Reza Nasiri, Fariborz Jolai. © 2018. 21 pages.
Dynamic environment imposes such conditions that make it necessary for companies to consider sources of uncertainty in designing core business processes and optimizing supply chain operations. Efficient management of a supply system requires an integrated approach towards various operational functions...
Source:
Optimization Techniques for Problem Solving in Uncertainty
Sample PDF
Land Cover Classification Using the Proposed Texture Model and Fuzzy k-NN Classifier
Jenicka S. © 2018. 36 pages.
Texture feature is a decisive factor in pattern classification problems because texture features are not deduced from the intensity of current pixel but from the grey level intensity variations of current pixel with its neighbors. In this chapter, a new texture model called multivariate binary...
Source:
Optimization Techniques for Problem Solving in Uncertainty
Sample PDF
Experimental Investigation for Performance Optimization of Biodiesel-Fueled Diesel Engine Using Taguchi-Gray Relational Analysis
Rajesh Kumar, R. P. Gakkhar. © 2018. 28 pages.
The objective of this analysis is to determine optimum parameters for maximum performance and minimum emission for biodiesel-fueled diesel engine. The experiments were designed using Taguchi L25 orthogonal array. Five parameters—fuel blend, load, speed, injection timing, and injection pressure—each...
Source:
Optimization Techniques for Problem Solving in Uncertainty
Sample PDF
A Fuzzy Measure of Vulnerability for the Optimization of Vehicle Routing Problems With Time Windows
Kris Braekers, Gerrit K. Janssens. © 2018. 31 pages.
In a vehicle routing problem (VRP) with time windows, the start of service needs to take place within the customer time window. Due to uncertainty on travel times, vehicles might arrive late at a customer's site. A VRP is mostly solved to minimize a total cost criterion (travel time, travel...
Source:
Optimization Techniques for Problem Solving in Uncertainty
Sample PDF
Selected Topics in Robust Optimization
Ihsan Yanikoglu. © 2018. 27 pages.
In this chapter, the authors give a brief introduction to important concepts of RO paradigm. The remainder of the chapter is organized as follows: Section 2 gives an introduction on optimization under uncertainty, and presents brief comparisons among the well-known sub-fields of optimization under...
Source:
Optimization Techniques for Problem Solving in Uncertainty
Sample PDF
Advances in Fuzzy Dynamic Programming
Felix Mora-Camino, Elena Capitanul Conea, Fabio Krykhtine, Walid Moudani, Carlos Alberto Nunes Cosenza. © 2018. 24 pages.
This chapter considers the use of fuzzy dual numbers to model and solve through dynamic programming process mathematical programming problems where uncertainty is present in the parameters of the objective function or of the associated constraints. It is only supposed that the values of the uncertain...
Source:
Optimization Techniques for Problem Solving in Uncertainty
Sample PDF
A Study of Fully Fuzzy Linear Fractional Programming Problems by Signed Distance Ranking Technique
Moumita Deb. © 2018. 43 pages.
The aim of this chapter is to study fully fuzzy linear fractional programming (FFLFP) problems where all coefficients of the decision variables and parameters are characterized by triangular fuzzy numbers. To deal with this, the authors have first to transform FFLFP problems to fuzzy linear programming...
Source:
Optimization Techniques for Problem Solving in Uncertainty
Sample PDF
Optimality Principles for Fuzzy Dual Uncertain Systems
Félix Mora-Camino, Hakim Bouadi, Roger Marcelin Faye, Lunlong Zhong. © 2018. 26 pages.
This chapter considers the extension of the calculus of variations to the optimization of a class of fuzzy systems where the uncertainty of variables and parameters is represented by symmetrical triangular membership functions. The concept of fuzzy dual numbers is introduced, and the consideration of...
Source:
Optimization Techniques for Problem Solving in Uncertainty
Sample PDF
Grey Optimization Problems Using Prey-Predator Algorithm
Nawaf N. Hamadneh. © 2018. 16 pages.
The optimization problems are the problem of finding the best parameter values which optimize the objective functions. The optimization methods are divided into two types: deterministic and non-deterministic methods. Metaheuristic algorithms fall in the non-deterministic solution methods. Prey-predator...
Source:
Optimization Techniques for Problem Solving in Uncertainty
Sample PDF
A Survey on Grey Optimization
Adem Guluma Negewo. © 2018. 30 pages.
This chapter provides a literature review of optimization problems in the context of grey system theory, as proposed by various authors. The chapter explains the binary interactive algorithm approach as a problem-solving method for linear programming and quadratic programming problems with uncertainty...
Source:
Optimization Techniques for Problem Solving in Uncertainty
Sample PDF
Artificial Intelligence Systems Based on NTA
© 2018. 23 pages.
This chapter describes NTA capabilities in modeling various kinds of intelligence systems, namely discrete automata, systems for Formal Concept Analysis and for solving Constraint Satisfaction Problems, as well as for unified representation and processing of knowledge expressed in different...
Source:
N-ary Relations for Logical Analysis of Data and Knowledge
Sample PDF
Data Management in NTA Structures
© 2018. 21 pages.
As for making databases more intelligent, NTA can be considered an extension of relational algebra to knowledge processing. Besides, we propose an approach to development of search engines, in particular, question-and-answer teaching systems based on controlled languages and algebraic models for...
Source:
N-ary Relations for Logical Analysis of Data and Knowledge
Sample PDF
Probabilistic Modeling
© 2018. 30 pages.
Besides using logic-probabilistic analysis for probabilistic estimation itself, it is often necessary to consider uncertain or underdetermined information of a different nature expressed in the following forms: interval estimates, lists of possible options, hypothetical or possibilistic statements...
Source:
N-ary Relations for Logical Analysis of Data and Knowledge
Sample PDF
NTA Techniques to Decrease Complexity
© 2018. 37 pages.
Matrix properties of NTA objects allow to decrease computational complexity of intellectual procedures as well as to efficiently parallel logical inference algorithms. New structural and statistical classes of CNFs with polynomially identifiable satisfiability properties were discovered in NTA....
Source:
N-ary Relations for Logical Analysis of Data and Knowledge
Sample PDF
Analysis of Defeasible Reasoning
© 2018. 21 pages.
This chapter describes implementation of abductive and modified conclusions by means of NTA. The algorithm and rules to form hypotheses for abductive conclusions are proposed. They can be applied not only to NTA objects expressing formulas of propositional calculus, but also to a more general case when...
Source:
N-ary Relations for Logical Analysis of Data and Knowledge
Sample PDF
Deductive Analysis in NTA
© 2018. 23 pages.
This chapter mostly describes implementation of logical inference by means of NTA. Besides the known logical calculus methods, NTA logical inference procedures can include new algebraic methods for checking correctness of a consequence or for finding corollaries to a given axiom system. Above...
Source:
N-ary Relations for Logical Analysis of Data and Knowledge
Sample PDF
Theoretical Basics of NTA
© 2018. 28 pages.
The chapter introduces theoretical features of n-tuple algebra developed by the authors as a theoretical generalization of structures and methods applied in intelligence systems. NTA supports formalization of a wide set of logical problems (abductive and modified conclusions, modeling of graphs...
Source:
N-ary Relations for Logical Analysis of Data and Knowledge
Sample PDF
Basic Mathematical Structures
© 2018. 96 pages.
This chapter presents some conventional means of logical analysis. It is necessary to show the scope and features of our approach. In particular, we refer to algebra of sets and algebra of logic (propositional algebra), which belong to the class of Boolean algebras, as well as partially ordered sets...
Source:
N-ary Relations for Logical Analysis of Data and Knowledge
Sample PDF
Hybrid Non-Dominated Sorting Genetic Algorithm: II-Neural Network Approach
Sankhadeep Chatterjee, Sarbartha Sarkar, Nilanjan Dey, Amira S. Ashour, Soumya Sen. © 2018. 23 pages.
Water pollution due to industrial and domestic reasons is highly affecting the water quality. In undeveloped and developed countries, it has become a major reason behind a number of water borne diseases. Poor public health is putting an extra economic liability in order to deploy precautionary measures...
Source:
Advancements in Applied Metaheuristic Computing
Sample PDF
On Developing and Performance Evaluation of Adaptive Second Order Neural Network With GA-Based Training (ASONN-GA) for Financial Time Series Prediction
Sarat Chandra Nayak, Bijan Bihari Misra, Himansu Sekhar Behera. © 2018. 33 pages.
Financial time series forecasting has been regarded as a challenging issue because of successful prediction could yield significant profit, hence require an efficient prediction system. Conventional ANN based models are not competent systems. Higher order neural networks have several advantages over...
Source:
Advancements in Applied Metaheuristic Computing
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