Interval-valued intuitionistic fuzzy pattern recognition model for assessment of social cohesion

Imanov G., Əliyev A.

Neuro-Fuzzy Modeling Techniques in Economics, vol.2023, pp.133-154, 2023 (Scopus) identifier

Qısa məlumat

Social cohesion is defined as the potential of a society to sustain the

well-being, eliminate inequality, ensure the rights for every citizen,

respect for dignity, the opportunities for human development and

realization, and engagement of all individuals in the democratic system.

There exist numerous researches in this direction differing in the

method, structure and number of indicators constituting Social

Cohesion Index (SCI). In the present study, we developed an approach

based on interval-valued intuitionistic fuzzy tools for the assessment of

SCI. In the adoption of the structure of SCI, we relied on the UN

methodology. The advantages of the proposed approach are in taking

into account the uncertainty caused by crisp input data and classical

computation techniques. The issues addressed in the research

encompass the effect of indicators on the overall SCI, computation of

the weights of indicators and sub-indices, producing the aggregated

index and assessing its level through fuzzy pattern recognition tools.

The approach proposed in the current work can be a substantial

advance in the methodology of SCI calculations.