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This study aims to propose a fuzzy linear regression (FLR) model to deal with the vagueness or fuzziness of the underlying relationship between silk cocoon and yarn quality.

Shell ratio percentage, defective cocoon percentage and cocoon volume are considered as significant independent variables to predict the quality of silk cocoons. Input and output parameters of the FLR model are considered as non-fuzzy, but the underlying relationship between the variables is assumed to be fuzzy.

The fuzzy regression model shows its superiority against conventional multiple linear regression model for estimation of silk cocoon characteristics. It is inferred that the fuzziness in underlying relationship between the parameters can be handled efficiently by FLR model.

A rigorous experimental work has been carried out on 40 lots of mulberry silk cocoons to generate real-world data set to characterize silk cocoons’ quality in a fuzzy environment.

In recent years, rough set theory has evolved as one of the most promising classification techniques. One of the cardinal uses of rough set theory is its application for rule generation. The purpose of this paper is to propose a real-time fabric inspection technique. This work deals with the multi-class classification of fabric defects using rough set theory.

This technique focuses on the classification of fabric defects using the effective decision rules envisaged by rough set theory. In the proposed work, the six features of 50 images have been used for multiclass classification of fabric defects.

In this work, 40 images were used for generation of decision rules and 10 unseen images were used for validation out of which nine images are accurately predicted by the proposed technique.

The proposed method accurately identified 9 out of 10 testing defects. The obtained decision rules provide an insight about the classification method which ensures that the prediction accuracy can be improved further by framing more robust decision rules with the help of a large training data set. Thus, with the support of modern computational systems this method is potent in getting recognition from the textile industry as a real-time classification technique.

The moisture vapour permeability properties of a series of almost similar polyesterviscose (P/V) and polyester-cotton (P/C) blended fabrics are investigated. The water vapour transport rate greatly differs depending on the principle of the test methods, even when other parameters are nearly identical, such as air permeability, areal density, porosity and thickness. The water absorption characteristics of fibre seem to be the most important in determining the overall water vapour transport rate. Substitution of polyester for viscose and cotton in P/V and P/C blended fabrics respectively, reduces the water transport rate of the fabrics in a long term method. It is found that the P/C blended fabrics show greater water vapour transport than the corresponding P/V fabrics when a long term test method is used; however, the P/V fabrics show relatively higher water vapour permeability than the P/C fabrics when short duration tests are carried out by using the Permetest and moisture vapour transmission rate (MVTR) cell methods

Global warming and climate change have created an urgency for change in the global system. This change is envisaged through regulations, financing, policies, technology and innovations related to all of them. In this chapter, I argue that such a techno-centric, piecemeal, mechanistic and transactional approach is bound to fail unless we have a spiritual foundation and a sustainable community building strategy. All work of the society ultimately aims for a group of people living together harmoniously. Thus, sustainability transition has to be founded on commonalities of consciousness often found in ‘intentional’ communities – a group of people bounded by a common aspiration/faith and living together. The chapter analyses the case of Auroville, located in Puducherry, India, and its 54-year history to draw conclusions about sustainable community building and discuss its implication for a low-carbon, equitable, net-zero society.

The purpose of this paper is to review existing literature on marketing in social enterprises (SEs). It identifies major trends and issues and highlights gaps in the existing knowledge base on social enterprise marketing (SEM).

Relevant articles on SEM were searched, following the PRISMA framework, in online databases using keywords and phrases like “marketing in social enterprises,” “marketing strategy/practice in social enterprises,” “social enterprise marketing” and “business practices in social enterprises.” After screening and checking for eligibility, 47 significant articles published in 21 peer-reviewed journals during 1995–2018 were selected for review.

The findings suggest that marketing in SEs has different issues and challenges when compared to marketing practices adopted by conventional business organizations. They are forced to address the varied expectations of the stakeholders in a resource-constrained situation, which creates problems for them. The review also highlights the fact that resource constraints, legacy mindset, and lack of marketing skills limit the impact of marketing practices in SEs. To address these issues, many social entrepreneurs survive through cost-effective marketing techniques.

To the authors’ knowledge, this is the first effort to identify and analyze extant literature in SEM. The resultant themes and research gaps highlight the current status of SEM literature. The paper can help SEs to understand and plan their marketing activities for better impact and profitability. Future research can draw on the findings of this review.