Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 18 of 18
Full-Text Articles in Entire DC Network
Essays In Multidimensional Mechanism Design., Kolagani Paramahamsa Dr.
Essays In Multidimensional Mechanism Design., Kolagani Paramahamsa Dr.
Doctoral Theses
This thesis analyzes three problems where a monopolistic seller is selling to an agent with multidimensional private information. While our understanding of such problems is comprehensive if the agent's private information is one-dimensional, problems with multidimensional private information are known to be ubiquitous but analytically notorious. The three chapters in this thesis make progress in understanding optimal mechanism design in such multidimensional screening problems. In the first problem, the seller is selling an object to an agent who exhibits behavioral preferences, in a departure from the standard rational models. Behavioral preferences arise because the agent is budget constrained and needs …
Many-Objective Evolutionary Algorithms: Objective Reduction, Decomposition And Multi-Modality., Monalisa Pal Dr.
Many-Objective Evolutionary Algorithms: Objective Reduction, Decomposition And Multi-Modality., Monalisa Pal Dr.
Doctoral Theses
Evolutionary Algorithms (EAs) for Many-Objective Optimization (MaOO) problems are challenging in nature due to the requirement of large population size, difficulty in maintaining the selection pressure towards global optima and inability of accurate visualization of high-dimensional Pareto-optimal Set (in decision space) and Pareto-Front (in objective space). The quality of the estimated set of Pareto-optimal solutions, resulting from the EAs for MaOO problems, is assessed in terms of proximity to the true surface (convergence) and uniformity and coverage of the estimated set over the true surface (diversity). With more number of objectives, the challenges become more profound. Thus, better strategies have …
Terrorism And Counter-Terrorism: A Game Theoretic Approach., Aditya Bhan Dr.
Terrorism And Counter-Terrorism: A Game Theoretic Approach., Aditya Bhan Dr.
Doctoral Theses
Microeconomic concepts are often applied to analyze the phenomenon of terrorism, and gametheoretic frameworks are commonly applied throughout the existing literature. This is unsurprising, since real-world scenarios involving strategic interactions are best formulated using game theory because such formulations not only provide deep insights into the web of incentives and disincentives within which each player operates and consequent predictive paradigms, but also enable the creation of policy architectures based on anticipation of players‟ actions and/or alteration of players‟ incentives/disincentives to encourage/discourage certain behavioural outcomes. This thesis also applies game-theoretic frameworks to analyze some issues within the domain of terrorism and …
Essays In Social Choice Theory., Dipjyoti Majumdar Dr.
Essays In Social Choice Theory., Dipjyoti Majumdar Dr.
Doctoral Theses
The purpose of this thesis is to explore some issues in social choice theory and decision theory. Social choice theory provides the theoretical foundations for the field of public choice and welfare economics. It tries to bring together normative aspects like perspective value judgements and positive aspects, like strategic con- siderations. The second feature which is our focus, is closely related to the problem of providing appropriate incentives to agents, an issue of prime importance in eco- nomics.Consider for example, a set of agents who must elect one among a set of can- didates. These candidates may be physical agents …
Essays On Behavioral Industrial Organization And Welfare., Priyanka Kothari Dr.
Essays On Behavioral Industrial Organization And Welfare., Priyanka Kothari Dr.
Doctoral Theses
Many traits of economic agents are well studied and understood by psychologists that are yet to be captured by economic theory. This thesis, in the field of behavioral economics, is yet another attempt at unifying the different approaches of the two well-established disciplines - we ask what does economics predict of the behavior of economic agents ... once the psychology behind their decisions is accounted for. In a nutshell, this thesis is about the implications of choice-making among available alternatives.We begin with the idea that an economic agent only derives satisfaction from what he consumes without worrying at all (let …
Essays On Boundedly Rational Choice., Tanmoy Das Dr.
Essays On Boundedly Rational Choice., Tanmoy Das Dr.
Doctoral Theses
Decision theory or the theory of choice is the analysis of individual behavior, typically in noninteractive situations. We can conceptualize two types of decision theory - normative and descriptive. A normative theory is concerned with identifying the best decision to make, modeling a decision maker who comports to certain ideals. A descriptive theory is a theory about how decisions are made. Such a theory is concerned with explaining observed behavior or predicting behavior under the assumption that the decision-maker or decision process follows some rules. The predictions about behavior that descriptive theory produces allow further tests of the assumed underlying, …
Essays On The Economics Of Education., Soham Sahoo Dr.
Essays On The Economics Of Education., Soham Sahoo Dr.
Doctoral Theses
This thesis consists of three empirical essays that investigate issues related to the economics of education. The main focus of this thesis is to study schooling outcomes of children in a developing country: India. The first chapter explores the effect of mothers’ labour force participation on children’s educational outcomes in the context of a large employment guarantee program in India. This study finds that workfare schemes enhancing women’s access to economic opportunities have implications for intra-household resource allocation which in turn lead to a positive effect on children’s education. The second essay investigates the effect of better access to secondary …
Some Issues In Unsupervised Feature Selection Using Similarity., Partha Pratim Kundu Dr.
Some Issues In Unsupervised Feature Selection Using Similarity., Partha Pratim Kundu Dr.
Doctoral Theses
Pattern recognition is what humans do most of the time, without any conscious effort, and fortunately excel in. Information is received through various sensory organs, processed simultaneously in the brain, and its source is instantaneously identified without any perceptible effort. The interesting issue is that recognition occurs even under non-ideal conditions, i.e., when information is vague, imprecise or incomplete. In reality, most human activities depend on the success in performing various pattern recognition tasks. Let us consider an example. Before boarding a train or bus, we first select the appropriate one by identifying either the route number or its destination …
Essays On Individual And Collective Powers In A Voting Body., Sonali Roy Dr.
Essays On Individual And Collective Powers In A Voting Body., Sonali Roy Dr.
Doctoral Theses
MotivationThe issue of measurement of voting power is a very important topic of discussion in social science these days. The concept of voting power concerns any collective decision making body (or, equivalently, a collectivity) which makes ‘yes’ or ‘no’ decisions on any issue, by the process of voting. Examples of such bodies abound in today’s world. The United Nations Security Council, The Council of Ministers in the European Union, the Parliament of the republic of India, the board room of any corporate house etc., are all examples of such decision making bodies.The voting process of each of these bodies is …
Some New Methodologies For Pattern Recognition Aided By Self-Organizing Maps., Arijit Laha Dr.
Some New Methodologies For Pattern Recognition Aided By Self-Organizing Maps., Arijit Laha Dr.
Doctoral Theses
In this thesis we develop several techniques for performing different pattern recognition tasks. In particular, the pattern recognition tasks considered here are classification and vector quantization. We propose several methods for designing classifiers and address various issues involved in the task. For vector quantization, we develop a method for image compression with superior psychovisual reproduction quality. We also propose a method for fast codebook search in a vector quantizer. We exploit different properties of Self-organizing Map (SOM) network for developing these methods. Along with SOM, we also use fuzzy sets theory and Dempster-Shafer theory of evidence to design classi- fiers …
Certain Pattern Recognition Tasks For Data Mining Problems., Pabitra Mitra Dr.
Certain Pattern Recognition Tasks For Data Mining Problems., Pabitra Mitra Dr.
Doctoral Theses
Pattern recognition (PR) is an activity that we humans normally excel in. We do it almost all the time, and without conscious effort. We receive information via our various sensory organs, which is processed instantaneously by our brain so that, almost immediately, we are able to identify the source of the information, without having made any perceptible effort. What is even more impressive is the accuracy with which we can perform recognition tasks even under non-ideal conditions, for instance, when the information that needs to be processed is vague, imprecise or even incomplete. In fact, most of our day-to-day activities …
Feature Evaluation, Classification And Rule Generation Using Fuzzy Sets And Neural Networks., Rajat Kumar De Dr.
Feature Evaluation, Classification And Rule Generation Using Fuzzy Sets And Neural Networks., Rajat Kumar De Dr.
Doctoral Theses
Pattern recognition and machine learning form a major area of research and develop- ment activity that encompasses the processing of pictorial and other non-numerical information obtained from the interaction between science, technology and society. A motivation for the spurt of activity in this field is the need for people to com- municate with the computing machines in their natural mode of communication. Another important motivation is that the scientists are also concerned with the idea of designing and making intelligent machines that can carry out certain tasks that we human beings do. The most salient outcome of these is the …
Similarity Based Approximate Reasoning., Swapan Raha Dr.
Similarity Based Approximate Reasoning., Swapan Raha Dr.
Doctoral Theses
Many years of research in Artificial Intelligence, Cognitive Science and allied area reveal that the cognitive process of human reasoning deals with imprecise premises. As cognitive process of human reasoning is mainly concerned with the individual's perception, it is liable to be imprecise in nature. Precise traditional two-valued logic and/or multi-valued logics are not effective in handling such reasoning processes. This motivated Zadeh (109) to investigate how these impreciseness in human rea- soning could be modeled through some computable entities. In this regard, Zadeh has shown how such imprecise linguistic terms could be expressed through fuzzy sets over universes of …
Studies Of Supply Responses In Indian Agriculture: Some Models For Planning Rational Food Supply., Nilabja Ghosh Dr.
Studies Of Supply Responses In Indian Agriculture: Some Models For Planning Rational Food Supply., Nilabja Ghosh Dr.
Doctoral Theses
This thesis deals with food supply in a less developed country.In a world where social awareness together with technical progress is offering advances in all spheres of life, the persisting presence of hunger and malnutrition in any corner of the earth casts a shadow on all human achievements. It is said that over 800 million human beings in this world are suffering from hunger and a great majority of them live in Asia. Food problem has many dimensions (Timmer et al, 1983), but the solution lies mostly in adequate supply of foodgrains and proper distribution of the same. Any shortfall …
Neuro Fuzzy Reasoning For Pattern Classification And Object Recognition., Jayati Ghosh Dr.
Neuro Fuzzy Reasoning For Pattern Classification And Object Recognition., Jayati Ghosh Dr.
Doctoral Theses
In real world, pattern classification and object recognition problems are faced with fuzzi- ness that is connected with diverse facets of cognitive activity of the human being. An origin of sources of fuzziness is related to labels expressed in feature space as well as to labels of classes taken into account in classification and /or recognition procedures. Though a lot of scientific efforts have already been dedicated to pattern recognition problems, especially to classification procedures, still pattern recognition is confronted with a continuous challenge coming from a human being who can perform lot of ex- tremely complex classification tasks by …
Neuro-Fuzzy Models For Classification And Rule Generation., Sushmita Mitra Dr.
Neuro-Fuzzy Models For Classification And Rule Generation., Sushmita Mitra Dr.
Doctoral Theses
Machine recognition [1, 2] of patterns can be viewed as a two-fold task, consisting of learning the invariant and common properties of a set of samples characterizing a class, and of deciding a new sample as a possible member of the class by noting that it has properties common to those of the set of samples. In other words, pattern recognition by computers can be described as a transformation from the measurenment space M to the feature space F and finally to the decision space D (1), i.e., M ⟶F⟶D.Here, the mapping 6 : F⟶D is the decision function and …
Multivalued Approach For Uncertainty Management., Deba Prasad Mandal Dr.
Multivalued Approach For Uncertainty Management., Deba Prasad Mandal Dr.
Doctoral Theses
Real life problems are rarely free from uncertainty which usually emerges from the deficiencies of information available from a situation. The defi- ciencies may result from incomplete, imprecise, not fully reliable, vague or contradictory information depending on the problem. Management of uncer- tainty in a decision making system has been an important research problem for many years.Until the inception of the concept of fuzzy set theory in 1965 (1), the theory of probability and statistics was the primary mathematical tool for modeling uncertainty in a system/situation. Fuzzy set theory has shown enormous proinise in handling uncertaintics to a reasonable extent …
Some Aspects Of Multi Source Satellite Image Processing., L. Lalitha Dr.
Some Aspects Of Multi Source Satellite Image Processing., L. Lalitha Dr.
Doctoral Theses
The observation of a target by a device plaoed at some distance from it is cal.led remote sensing as ngainst in situ sensing where the sensor is kept in contact with the target. Usually physical emanations such as the electr omagnetic radiation from the target s observed by the sensing device. Sensors mounted on aircraft or satallite platforms measure the amount of energy reflected from or emitted by the earth's surface. Sensors scan the ground below a nd to either side of the satellite platform and as the platform noves forward, an image of the earths surface is formed.A satellite …