Presents fundamental results on fuzzy Mealy machines. Unlike the classical Mealy machine which requires two functions, one to describe the next state and another to describe the…
Abstract
Presents fundamental results on fuzzy Mealy machines. Unlike the classical Mealy machine which requires two functions, one to describe the next state and another to describe the output, a fuzzy Mealy machine requires only one fuzzy function to characterize completely the next state and the output produced. Apart from the obvious generalization that can be obtained from corresponding results on fuzzy finite state machines by introduction of an output associated with each transition, introduces the concept of an interval partition of [0, 1] and uses it to obtain more general results.
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Amandeep Dhaliwal, Sahil Malik and Deepti Dabas Hazarika
Student engagement is a multifaceted concept that encompasses various dimensions that significantly influence students and their learning journey. This study aims to explore the…
Abstract
Purpose
Student engagement is a multifaceted concept that encompasses various dimensions that significantly influence students and their learning journey. This study aims to explore the extent of engagement among management students outside the confines of the classroom, specifically focusing on their engagement with the campus and community and assessing the outcomes resulting from this engagement.
Design/methodology/approach
The literature review provided the basis for developing a student engagement framework, focusing on campus and community engagement and their outcomes. Established scales measured these variables through surveys administered to 386 UG and PG management students. In-depth analysis using PLS-SEM technique revealed the interplay of variables, beyond demographic and descriptive examinations.
Findings
The study found that campus and community engagement fosters a sense of responsibility. Campus engagement also cultivates long-term loyalty to the institution, while community engagement enhances social consciousness. Additionally, no significant differences in engagement levels were observed based on gender or educational level among management students.
Research limitations/implications
The study faces limitations that need addressing for balanced understanding and future research guidance. Firstly, varying definitions across studies lead to inconsistent outcomes and comparability challenges. Secondly, accurate measurement is difficult due to reliance on self-reporting tools, which are prone to biases. Cultural and contextual differences also limit generalizability, and quantitative data alone may not capture the full picture. In India, identifying specific skills and competencies as engagement outcomes in outcome-based education is challenging, requiring precise variable identification.
Practical implications
The study would contribute to improving the efficacy of efforts beyond the classroom engagement activities as it tests, validates, and projects them as outcome-driven by showcasing learning both as generic competencies in a broad sense and higher-order competencies in particular.
Originality/value
The literature indicates higher education institutes' activities beyond classroom teaching enhance students' campus and community relationships. This study measures these engagements' outcomes and suggests new research dimensions in student engagement.
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D.S. Malik, J.N. Mordeson and M.K. Sen
Studies the concept of the Cartesian composition of fuzzy finite state machines. Shows that fuzzy finite state machines and their Cartesian composition share many structural…
Abstract
Studies the concept of the Cartesian composition of fuzzy finite state machines. Shows that fuzzy finite state machines and their Cartesian composition share many structural properties. Some of these properties are singly generated; retrievability, connectedness, strong connectedness, commutativity, perfection and state independence. Thus a fuzzy finite state machine which is a Cartesian composition of submachines can be studied in terms of smaller machines.
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D.S. Malik and John N. Mordeson
In this paper, we define and examine the concept of a fuzzy recognizer. If L(M) is the language recognized by an incomplete fuzzy recognizer M, we show that there is a completion M…
Abstract
In this paper, we define and examine the concept of a fuzzy recognizer. If L(M) is the language recognized by an incomplete fuzzy recognizer M, we show that there is a completion M of M such that L(M) = L(M). We also show that if A is a recognizable set of words, then there is a complete accessible fuzzy recognizer MA such that L(MA) = A. We lay groundwork to determine rational decompositions of recognizable sets.
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Durriya Z. Khairullah and Zahid Y. Khairullah
Tests the reliability of an empirical model designed by Szapocznik et al to measure acculturation levels of first‐generation immigrants. Applies model to a demographically diverse…
Abstract
Tests the reliability of an empirical model designed by Szapocznik et al to measure acculturation levels of first‐generation immigrants. Applies model to a demographically diverse sample group of first‐generation Asian‐Indian immigrants in three cities near New York (USA) to establish levels of cultural and behavioural acculturation, and the relevance of demographic variables, such as gender, marital status, religion and occupation. Establishes a series of statistically significant correlations between the variables examined; compares these results with findings of other studies involving different immigrant groups. Asserts that the model provides a reliable basis for assessing acculturation characteristics of immigrants; concludes that the findings of this study provide an objective basis for the development of social and public policy aimed at accommodating acculturation needs of this particular immigrant group.
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Rahul Kumar, Soumya Guha Deb and Shubhadeep Mukherjee
Nonperforming assets in any banking system have stressed the economic health of nations. Resultantly, literature has given considerable impetus to predict failures and bankruptcy…
Abstract
Nonperforming assets in any banking system have stressed the economic health of nations. Resultantly, literature has given considerable impetus to predict failures and bankruptcy. Past studies have focused on the outcome of failures, while, there is a dearth of studies focusing on ongoing firms in bad shape. We plug this gap and attempt to identify underlying communication patterns for firms witnessing prolonged underperformance. Using text mining, we extract and analyze semantic, linguistic, emotional, and sentiment-based features in non-numeric communication channels of these poor-performing firms and their peers. These uncovered patterns highlight the use of vocabulary and tone of communication, in correspondence to their financial well-being. Furthermore, using such patterns, we deploy various Machine Learning algorithms to identify loser firm(s) way ahead in time. We observe promising accuracy over a time window of five years. Such early warning signals can be of critical importance to various stakeholders of a firm. Exploration of writing style-related features for any firm would help its investors, lending agencies to assess the likelihood of future underperformance. Firm management can use them to take suitable precautionary measures and preempt the future possibility of distress. While investors and lenders can be benefitted from this incremental information to identify the likelihood of future failures.
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The purpose of this research paper is to develop an algorithm/methodology for the reduction of a fuzzy recognizer through an algebraic concept such as homomorphism.
Abstract
Purpose
The purpose of this research paper is to develop an algorithm/methodology for the reduction of a fuzzy recognizer through an algebraic concept such as homomorphism.
Design/methodology/approach
The approach of this research is to introduce the concepts, compatible with the purpose of this paper, and then to find a necessary and sufficient condition for the reduction of a fuzzy recognizer.
Findings
A fuzzy Σ‐recognizer M with non‐empty fuzzy initial state and the behavior A is reduced if and only if it is isomorphic to MA.
Research limitations/implications
The research proposes an algebraic method for the reduction of a fuzzy recognizer. The problem of finding dispensable fuzzy productions of a regular fuzzy grammar may be tackled by the use this algebraic method, as fuzzy recognizers and fuzzy regular grammars are equivalent.
Originality/value
The concepts and the methodology are original. The work is useful to the researchers in the field of fuzzy automata, fuzzy grammars and pattern recognition.
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Zakia Tasmin Rahman, Ruhi Lal and Ravinder Rena
The New Development Bank (NDB) is assisting the development of India's financial system. India's financial needs are met by NDB. It can contribute to the BRIC countries' economic…
Abstract
The New Development Bank (NDB) is assisting the development of India's financial system. India's financial needs are met by NDB. It can contribute to the BRIC countries' economic and social development and helps in the sustainability of the country's growth and development. The study is focused on the role of NDB in India, the growth and development of NDB, and to explore the future prospects of NDB in India. The plans and strategies of NDB are studied thoroughly, and positive conclusions can be drawn on India and other member nations of NDB. The research study is qualitative, exploratory research. It is based on secondary data. Government reports, records, published research papers, websites, related documents, etc. are taken into consideration. Content analysis is done of the secondary data. The NDB strategies are designed in such a pattern that the member nations and emerging nations of the world can get the advantage of infrastructural development, sustainable growth, and development. Investment and employment generation can lead the nations. The research study has found out that NDB accelerates development in a flexible and effective way. Also, it was found out that various infrastructural developmental projects were undertaken. Initiatives like financial support for adopting various developmental technologies and strategies should be from medium- to long-term priority.