Fuzzy Multi-Criteria Framework for Measuring Spiritual Intelligence in a Data Driven Organization | Zendy

Shalini Upadhyay | Zendy; Nitin Upadhyay | Zendy

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Fuzzy Multi-Criteria Framework for Measuring Spiritual Intelligence in a Data Driven Organization

Author(s) -

Shalini Upadhyay,

Nitin Upadhyay

Publication year - 2018

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2018.10.251

Subject(s) - computer science , measure (data warehouse) , fuzzy logic , ranking (information retrieval) , construct (python library) , personalization , data mining , artificial intelligence , machine learning , world wide web , programming language

In this paper, a fuzzy multi-criteria framework is proposed to measure the spiritual intelligence (SI) in a data driven organization. The framework is flexible as it allows customization or tailoring and meeting various SI constructs and dimensions. Triangular fuzzy numbers have been used to express linguistic values of experts’ subjective preferences. Measurement of SI is performed by using fuzzy numbers for finding criteria weights and ranking the potential candidates by SI construct. An illustrative example has also been demonstrated to show the applicability and usage of the proposed framework.

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