Time filter

Source Type

Gupta M.,Indian Institute of Management Lucknow
2012 IEEE Conference on Computational Intelligence for Financial Engineering and Economics, CIFEr 2012 - Proceedings | Year: 2012

In this paper, a methodology for solving a group decision making problem is developed. The method obtains preference relationships of the alternatives after incorporating the experts' opinions about the alternatives in pair wise in linguistically or fuzzily defined terms. The importance of experts' opinions in the final ranking of the alternatives is calculated through an agreement matrix. The concept of PROMETHEE is applied thereafter to rank the given set of alternatives in a fuzzy environment. © 2012 IEEE.

Pindoriya N.M.,Indian Institute of Technology Kanpur | Singh S.N.,Indian Institute of Technology Kanpur | Singh S.K.,Indian Institute of Management Lucknow
Applied Soft Computing Journal | Year: 2011

Operating reserve (OR) is a major portion of ancillary services (AS) in a competitive electricity market and need to be procured by independent system operator (ISO), to achieve a high degree of power system reliability and security, following the major generation and transmission contingencies. Several ISOs have adopted deterministic methods to assess the OR requirements, however, such methods do not explicitly consider the unforeseen load swings and the probability of equipment outages. This paper proposes an adaptive wavelet neural network (AWNN) based two-stage approach to forecast OR requirements for both day-ahead and hour-ahead AS market in the California ISO (CAISO) controlled grid. The AWNN is a new class of feed-forward neural network with continuous wavelet function as the hidden layer node's activation function. The forecasting results for winter and summer seasons of the year 2007 are presented and compared with those obtained by feed-forward multi-layer perceptron neural network (MLPNN). It is found that AWNN based proposed method outperforms the MLPNN model. © 2010 Elsevier B.V. All rights reserved.

Singh S.K.,Indian Institute of Management Lucknow
European Transport - Trasporti Europei | Year: 2012

Cities and towns play a vital role in promoting economic growth and prosperity. Although less than one-third of India's people live in cities and towns, these areas generate over two-third of the country's income and account for 90% of government revenues. In the coming years, as India becomes more and more urbanized, urban areas will play a critical role in sustaining high rates of economic growth. But, economic growth momentum can be sustained if and only if cities function efficiently - that their resources are used to maximize the cities' contribution to national income. City efficiency largely depends upon the effectiveness of its transport systems, that is, efficacy with which people and goods are moved throughout the city. Poor transport systems stifle economic growth and development, and the net effect may be a loss of competitiveness in both domestic as well as international markets. Although Indian cities have lower vehicle ownership rate, number of vehicles per capita, than their counterparts in developed countries, they suffer from worse congestion, delay, pollution, and accidents than cities in the industrialized world. This paper provides an overview of urban transport issues and challenges in India. Rather than covering every aspect of urban transportation, it primarily focuses on those areas that are important from policy point of view. The paper first reviews the trends of vehicular growth and availability of transport infrastructure in Indian cities. This is followed by a discussion on the nature and magnitude of urban transport problems such as congestion, pollution and road accidents. Building on this background, the paper proposes policy measures to improve urban transportation in India.

Maity M.,Indian Institute of Management Lucknow | Dass M.,Texas Tech University
Decision Support Systems | Year: 2014

This study investigates the effect of media richness on consumer decision-making and channel choice, and grounds the investigation in media richness theory, task-media fit hypotheses and cognitive cost (behavioral decision theory). Findings from three experiments provide evidence that consumers prefer channels with medium (e.g., e-commerce) and high (e.g., in-store) media richness for carrying out complex decision-making tasks. Findings reveal that consumers are likely to undertake simple decision-making tasks on channels that incorporate low (e.g., m-commerce) levels of media richness. Findings also demonstrate that product type moderates the effect of media richness on perceived channel-task fit, post-purchase evaluation, and channel choice. These insights should prove helpful to managers in managing content across different channels. ©2014 Elsevier B.V. All rights reserved.

Maity M.,Indian Institute of Management Lucknow
International Journal of Technology Management and Sustainable Development | Year: 2014

This article investigates the continued usage of mobile telecommunication services (voice services and short messaging services (SMS)) among users from low socio-economic groups in Asia, and also examines the moderating effects of demographic variables age and gender on the intention to continue using these services. We investigate the phenomenon of information obtained using voice-based services and non-voice-based services by users from low socio-economic groups. This investigation brings together the Technology Acceptance Model (TAM) framework, and the information search paradigm to suggest a model for continued use of mobile phones. Data collected from individual telecommunication users across five South East Asian countries are analysed through structural equation modelling (SEM) to test the hypotheses. Findings demonstrate that for voice services, perceived ease of use (PEU) significantly affects intention in younger users (and not older users), while usefulness is a stronger predictor of intention for older users. For users of voice services and SMS, PEU significantly affects intention in males only, while subjective norm significantly affects intention only in females. From a public policy perspective, a greater emphasis may be placed on disseminating information about the benefits of mobile telecommunication among potential mobile phone users through groups that influence user behaviour. © 2014 Intellect Ltd Article.

Discover hidden collaborations