Fuzzy Methods and Satisfaction Indices

Zani, Sergio; Milioli, Maria Adele; Morlini, Isabella

doi:10.1002/9781119961154.ch21

Cited by 7 publications

(8 citation statements)

References 17 publications

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“…In social sciences, fuzzy sets have been utilized, among other things, to measure poverty, quality of life, well-being, the quality of products and services, in market share predictions as well as consumer preferences in human resources management [53,54].…”

Section: Fuzzy Setsmentioning

confidence: 99%

Can Elements of Intellectual Capital Improve Business Sustainability?—The Perspective of Managers of SMEs in Poland

2020

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Many organizations choose business sustainability to meet environmental, social, and financial demands to ensure responsible and long-term success. In order to achieve this, enterprises have to fully and optimally apply their resources. Intellectual capital is one of their most important resources creating market value and reinforcing sustainable competitive advantages. The main goal of the paper is to indicate which elements of the intellectual capital of small and medium-sized enterprises in Poland have the greatest impact on their sustainable development in the opinions of managers. The study took into account 1041 economic entities. Managers of small and medium enterprises operating in Poland have been asked to assess the elements of intellectual capital. The paper utilizes a new approach to the importance assessment of the impact of each characteristic on business sustainability. It is based on intuitionistic fuzzy sets. The proposed method is especially useful when variables are measured on an ordinal scale. In accordance with the classical theory of measurement, it does not allow the majority of arithmetic calculations to be performed. Based on the results of the research it has been determined that the most important factors are those which constitute human capital. Moreover, the observation has been made that there is a high degree of coherence of opinions expressed by managers of small and medium enterprises. The results of the research can be applied by both managers of enterprises in managing intellectual capital and employees of companies, by increasing their awareness of the topic of the influence of intellectual capital on business sustainability.Sustainability 2020, 12, 1545 2 of 23 be equal in terms of priorities to financial aspects. Meeting economic, social and environmental goals can bring a number of benefits and increase competitiveness [1,2].Intellectual capital is one of the most valuable resources of an enterprise, which enables its sustainable development. It is comprised of human capital, structural capital and relational capital.The main goal of the paper is to indicate which elements of the intellectual capital of small and medium-sized enterprises in Poland have the greatest impact on their sustainable development in the opinions of managers. The analysis utilizes the results of a study on managing intellectual capital by enterprises in Poland. The research was conducted in May, 2019. The research was realized through the CATI (computer-assisted telephone interviewing) and CAWI (computer-assisted web interviewing) methods in a representative group of 1041 enterprises operating in Poland (employing at least 10 employees) with an assumed level of trust of 0.95 and an estimation error of 3%. It was based on a proportional selection of enterprises based on voivodeships and their size measured by the number of employees. The assumed structure of the test group also took into account the differentiation of enterprises based on their type of activity (the number of interviews conducted was ...

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Section: Fuzzy Setsmentioning

confidence: 99%

Can Elements of Intellectual Capital Improve Business Sustainability?—The Perspective of Managers of SMEs in Poland

2020

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“…In fact, the interpretation of questionnaire results based on the definition of values of membership and not-membership in IFS can be very important, also from a communication point of view. The fuzzy approach can be viewed as a useful way to describe latent constructs such as those of satisfaction or performance through a mathematical formalization (see Zani et al 2012). Moreover, the Intuitionistic framework we have used in this paper can lead to appropriately quantify, as well as satisfaction or high levels of performance, also dissatisfaction or low levels of performance, and uncertainty.…”

Section: Discussionmentioning

confidence: 99%

“…In Sect. 8, we discuss our main results, also with reference to other approaches used to address customer satisfaction, such as the choice of membership function proposed in Zani et al (2012) or the CUB model (D'Elia and Piccolo 2005;Piccolo and D'Elia 2008;Iannario and Piccolo 2012); last, we draw some conclusions as well as general ideas for future research in this field.…”

Section: Application Of Fuzzy Theory: An Overviewmentioning

confidence: 97%

“…Finally, Zani et al (2013) constructed a fuzzy synthetic index aimed to measure a latent phenomenon, that can be quantified through a set of manifest variables. The authors discuss different criteria to define the membership function and propose a method based on the sampling cumulative function in case of ordinal variables (see also Zani et al 2012).…”

Section: Application Of Fuzzy Theory: An Overviewmentioning

confidence: 99%

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Intuitionistic fuzzy sets in questionnaire analysis

Quatto

Ripamonti

2015

Qual Quant

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Fuzzy sets represent an extension of the concept of set, used to mathematically model veiled and indefinite concepts, such as those of youth, poverty, customer satisfaction and so on. Fuzzy theory introduces a membership function, expressing the degree of membership of the elements to a set. Intuitionistic fuzzy sets and hesitant fuzzy sets are two extensions of the theory of fuzzy sets, in which non-membership degrees and hesitations expressed by a set of experts are, respectively, introduced. In this paper, we apply intuitionistic fuzzy sets to questionnaire analysis, with a focus on the construction of membership, non-membership and uncertainty functions. We also suggest the possibility of considering intuitionistic hesitant fuzzy sets as a valuable theoretical framework. We apply these models to the evaluation of a Public Administration and we assess our results through a sensitivity analysis.

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“…Here the logarithm transform is taken only to prevent excessive values for very low uncertainty. This weighting scheme has been already used in the Fuzzy Sets literature (that is, only with reference to membership functions) [37,36] to assess the capabilities of each category r in expressing satisfaction across items:μ…”

Section: Scoring Uncertaintymentioning

confidence: 99%

A model-based fuzzy analysis of questionnaires

Nardo

Simone

2018

Stat Methods Appl

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In dealing with veracity of data analytics, fuzzy methods are more and more relying on probabilistic and statistical techniques to underpin their applicability. Conversely, standard statistical models usually disregard to take into account the inherent fuzziness of choices and this issue is particularly worthy of note in customers' satisfaction surveys, since there are different shades of evaluations that classical statistical tools fail to catch. Given these motivations, the paper introduces a model-based fuzzy analysis of questionnaire with sound statistical foundation, driven by the design of a hybrid method that sets in between fuzzy evaluation systems and statistical modelling. The proposal is advanced on the basis of cub mixture models to account for uncertainty in ordinal data analysis and moves within the general framework of Intuitionistic Fuzzy Set theory to allow membership, non-membership, vagueness and accuracy assessments. Particular emphasis is given to defuzzification procedures that enable uncertainty measures also at an aggregated level. An application to a survey run at the University of Naples Federico II about the evaluation of Orientation Services supports the efficacy of the proposal.

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Fuzzy Methods and Satisfaction Indices

Cited by 7 publications

References 17 publications

Can Elements of Intellectual Capital Improve Business Sustainability?—The Perspective of Managers of SMEs in Poland

Can Elements of Intellectual Capital Improve Business Sustainability?—The Perspective of Managers of SMEs in Poland

Intuitionistic fuzzy sets in questionnaire analysis

A model-based fuzzy analysis of questionnaires

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