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3548 items in total found

Journal Articles | 2018

Modelling subjective utility through entropy

Manish Aggarwal

Journal of the Operational Research Society

We introduce a novel entropy framework for the computation of utility on the basis of an agent’s subjective evaluation of the granularised information source values. A concept of evaluating agent as an information gain function of this entropy framework is presented, which takes as its arguments both an information source value and the agent’s evaluation of the same. A method to model the agent’s perceived utility values is proposed. Based on these values, several new measures are designed for the evaluation of the information source values, perceived utilities, and the evaluating agent. A real application is included.

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Journal Articles | 2018

Learning of a decision-maker's preference zone with an evolutionary approach

Manish Aggarwal

IEEE Transactions on Neural Networks and Learning Systems

A new evolutionary-learning algorithm is proposed to learn a decision maker (DM)'s best solution on a conflicting multiobjective space. Given the exemplary pairwise comparisons of solutions by a DM, we learn an ideal point (for the DM) that is used to evolve toward a better set of solutions. The process is repeated to get the DM's best solution. The comparison of solutions in pairs facilitates the process of eliciting training information for the proposed learning model. Experimental study on standard multiobjective data sets shows that the proposed method accurately identifies a DM's preferred zone in relatively a few generations and with a small number of preferences. Besides, it is found to be robust to inconsistencies in the preference statements. The results obtained are validated through a variant of the established NSGA-2 algorithm.

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Journal Articles | 2018

Learning attitudinal decision model through pair-wise preferences

Manish Aggarwal

Kybernetes

Purpose

This paper aims to learn a decision-maker’s (DM’s) decision model that is characterized in terms of the attitudinal character and the attributes weight vector, both of which are specific to the DM. The authors take the learning information in the form of the exemplary preferences, given by a DM. The learning approach is formalized by bringing together the recent research in the choice models and machine learning. The study is validated on a set of 12 benchmark data sets.

Design/methodology/approach

The study includes emerging preference learning algorithms.

Findings

Learning of a DM’s attitudinal choice model.

Originality/value

Preferences-based learning of a DM’s attitudinal decision model.

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Journal Articles | 2018

Hesitant information sets and application in group decision making

Manish Aggarwal

Applied Soft Computing

The recent information set theory provides a useful mechanism to represent an agent’s perceived information values. However, often a decision-maker (DM) considers multiple evaluations for the same information source value. To this end, we extend the recent information set as hesitant information set (HIS). It gives the multiple perceived information values, corresponding to an information source value. In the context of multi-attribute decision making, HIS represents a set of different possible subjective utilities that an agent may perceive as an evaluation of an alternative-attribute pair. The basic operations, and properties of HIS are investigated. A few information measures based on HIS are presented. Besides many illustrative examples, a real application in group multi attribute decision making problem is included.

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Journal Articles | 2018

Generalized attitudinal Choquet Integral

Manish Aggarwal

International Journal of Intelligent Systems

Attitudinal Choquet integral (ACI) extends Choquet integral (CI) through a consideration of a decision-maker's (DM's) attitudinal character. In this paper, we generalize ACI, and the resulting operator is termed as generalized ACI (GACI). GACI adds to the efficacy of the ACI in the representation of a DM's unique and complex attitudinal character. It also generates a vast range of exponential ACI operators, such as harmonic ACI, ACI, quadratic ACI, to name a few. We further present induced GACI to consider additional information that may be associated with the arguments of aggregation. The special cases of the proposed operators are investigated. The usefulness of the proposed operators in modelling human decision behavior is shown through a case study.

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Journal Articles | 2018

Constitution, Supreme Court and Regulation of Coal Sector in India

M P Ram Mohan and Shashikant Yadav

NUJS Law Review

The paper maps four decades of coal sector litigation before the Supreme Court of India and draws a narrative on the constitutional contestation and the legal position as it stands today. Coal is one of the most important minerals from an economic perspective, accounting for over sixty percent of India’s energy requirement. The Constitution of India empowers both the Centre and states with legislative powers relating to regulation and control over mines and minerals, including coal. The coal sector has witnessed highly contested and protracted litigation with respect to law-making powers between the Centre and state governments, and this has impacted business and society in many ways. Through a mapping of judicial decisions of Supreme Court, the contested nature of governance of Indian coal sector is detailed in the paper. The Court has consistently maintained a greater responsibility of regulating mines and mineral development on the Union government. However, advocating sustainable use of coal resources, the Court emphasised that the regulatory power vested with Centre and states must have its basis on public interest and coal must be treated as a material resource of the community.

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Journal Articles | 2018

Which interpretational route will the Supreme Court of India follow when faced with the contentious civil liability for Nuclear Damage Act, 2010

M P Ram Mohan

Statute Law Review

The Civil Nuclear Liability for Damages Act of India enacted in 2010 has been a matter of concern to international suppliers and vendors. This is due to the perceived deviation of the law from the principle of legal channelling of liability (to the operator) which is at the heart of international nuclear liability jurisprudence. Specifically, this notion arises from allowing recourse to suppliers under outside of the circumstances mentioned in the Annex of the Convention for Complementary Compensation. Sections 17 and 46 which embody this notion are subject to different interpretations, some of them implying the compliance of the Indian regime with the international nuclear liability regime and many others equally suggest otherwise. In 2015, Government of India through a detailed Frequently Answered Questions clarified the nature and meaning of these sections. However, interestingly, there are two cases pending before Supreme Court of India contesting the constitutionality of the legislation in which these two specific provisions are also disputed. The article attempts to explain and resolve the ambiguity through a study of Supreme Court’s approach to statutory interpretation. I undertake an analysis of the reasoning given under the 2015 FAQ in the light of the disputed Sections 17 and 46 and bring out a probable prediction of Court’s interpretation of the Sections of the Act.

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Journal Articles | 2018

Conceptualization to amendment: Kakinada as a smart city

Lavanya Chintagunta, Priyanshu Raj, and Sundaravalli Narayanaswami

Journal of Public Affairs

Urbanization is globally rampant; in developing countries such as India, it is driven in a phenomenal pace by an aspiring, young society and ambitious state policies to achieve a competitive space in global economy. “Smart cities” is a new-age term coined specifically to control, monitor, measure, and evaluate our urban growth, in a way to understand how conducive are our cities for running businesses. Global borders are diminishing, and world-wide economies compete on multiple dimensions in a level playing field to participate and prosper in global markets. Cities are centers of economic activities, and the economic growth of a country largely depends on safe and supportive cities. Therefore, the need for smart cities is not difficult to establish. The more difficult questions are, “do we really know what a smart city is?” or “what are the elements that go into making an existing city smart?” Such questions are pertinent and timely. This paper attempts to answer these questions in a descriptive manner based on theoretical and empirical observations. We adopt an integrative approach of design conceptualization, policy building, and framework development, substantiated using an Indian city, namely, Kakinada in Andhra Pradesh State as an illustrative case.

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Journal Articles | 2018

A two-part dynamic pricing policy for household electricity consumption scheduling with minimized expenditure

Krishnendranath Mitra and Goutam Dutta

International Journal of Electrical Power & Energy Systems

In this paper we propose an optimization model for scheduling electrical appliances for an individual household. Here, customers are offered dynamic prices which are a function of that household’s planned consumption and forecasted grid load. We consider a grid connected system with a battery and an in-house renewable energy generator in the proposed scheduling model. This model minimizes the customer’s electricity bill subject to different constraints. We analyze our model with various pricing policies, price ranges and appliance operation windows. We find that the expenditure of the consumer decreases considerably in our model when shifting from flat prices to dynamic prices based on the forecasted grid load and the consumer’s individual planned consumption. Considerable expenditure reduction and individual load flattening is achieved with the use of a battery and an in-house renewable energy generator. Also, larger the price range, higher is the load flattening and lower is the expenditure. We show that our proposed pricing policy is beneficial to both consumers and suppliers.

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Journal Articles | 2018

A statistical model for helices with applications

Kanti V. Mardia, Karthik Sriram, and Charlotte M. Deane

Biometrics

Motivated by a cutting edge problem related to the shape of α-helices in proteins, we formulate a parametric statistical model, which incorporates the cylindrical nature of the helix. Our focus is to detect a “kink,” which is a drastic change in the axial direction of the helix. We propose a statistical model for the straight α-helix and derive the maximum likelihood estimation procedure. The cylinder is an accepted geometric model for α-helices, but our statistical formulation, for the first time, quantifies the uncertainty in atom positions around the cylinder. We propose a change point technique “Kink-Detector” to detect a kink location along the helix. Unlike classical change point problems, the change in direction of a helix depends on a simultaneous shift of multiple data points rather than a single data point, and is less straightforward. Our biological building block is crowdsourced data on straight and kinked helices; which has set a gold standard. We use this data to identify salient features to construct Kink-detector, test its performance and gain some insights. We find the performance of Kink-detector comparable to its computational competitor called “Kink-Finder.” We highlight that identification of kinks by visual assessment can have limitations and Kink-detector may help in such cases. Further, an analysis of crowdsourced curved α-helices finds that Kink-detector is also effective in detecting moderate changes in axial directions.

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