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3721 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

Decision aiding model with entropy-based subjective utility. Information Sciences

Manish Aggarwal

Information Sciences

An entropy-based method is presented to model a decision-maker’s (DM’s) subjective utility for a criterion value. The proposed method considers distribution of all the values that the criterion takes for the given set of alternatives. Based on the utility so modeled, and and the DM’s attitudinal character, a multi criteria decision aiding (MCDA) approach is developed to find the best alternative. The proposed method and the approach are applied in a real car selection 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

Internet channel cannibalization and its influence on salesperson performance outcomes in an emerging economy context

Dheeraj Sharma, S.K. Pandey, Rajesh Chandwani, Peeyush Pandey, and Rojers Joseph

Journal of Retailing and Consumer Services

Businesses increasingly use internet channels to increase their market penetration. However, empirical studies have shown that salespeople perceive Internet channels to be cannibalistic, effecting other sales—an effect that past researchers have termed as salesperson perceived cannibalization (SPC). None of these studies has examined this phenomenon in an emerging economies context, which has distinct dimensions. In this paper, we explore the influence of SPC on insurance sales agents in an emerging economy context through the lens of Structuration theory. We examine the SPC's impact on job performance and client professionalism. We further examine the moderating role of relational capital and perception of fairness on the influence of SPC on job performance and client professionalism.

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Journal Articles | 2018

How can mindfulness enhance moral reasoning? An examination using business school students

Ashish Pandey, Rajesh Chandwani, and Ajinkya Navare

Business Ethics: A European Review

Given the comprehensive influence of mindfulness on human thought and behavior, and the importance of moral reasoning in business decisions, we examine the role of mindfulness as an antecedent to moral reasoning through two studies. In Study 1, we propose and test a theoretically derived model that links mindfulness and moral reasoning, mediated by compassion and egocentric bias using a survey design. In Study 2, we examine whether mindfulness training enhances moral reasoning using an experimental design with graduate students of business management. The findings of Study 1 substantiate the positive association of mindfulness with moral reasoning. We found that this relationship is fully mediated by compassion and egocentric bias. The results of Study 2 suggest that mindfulness meditation training has a positive impact on individuals' states of mindfulness, compassion, and moral reasoning, and decreases egocentric bias. We relate the findings of the study with contemporary neurological research and discuss the theoretical, pedagogical, and managerial implications.

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Journal Articles | 2018

Foot-march: Large-scale mobilization for a public cause or a tool for fanning political ambition.

Astha Agarwalla, Ishu Gupta, and Ankur Sarin

Journal of Public Affairs

We present the case of an awareness campaign, strategically crafted by a local student political leader, based on a national level policy for urban poor and marginalized, in the city of Ahmedabad in India. The campaign, designed in the form of a foot-march, was aimed at mobilizing the urban poor, but with a clear ambition of gaining visibility for political mileage. This study reinforces that the mediation role taken up by local leaders transcends the traditional policymaking, in democracies with blurred boundaries between the state and citizens. Further, in local governance structures, with weak participatory spaces for the poor, foot-marches have the potential to become an extended invited participatory space.

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