A multi-valued neutrosophic Aras model for economic resilience in uncertain olive farming systems

Bibliographic Data

ID22430781
AuthorsFernando Montenegro-Dos Santos (Universidad Católica del Norte), Sarfaraz Hashemkhani Zolfani (0000-0002-2602-3986, Vilnius Gediminas Technical University)
Year2026
Volume32
Issue2
Pages727-764
Publication date2026-05-12
Open AccessYes
TypeARTICLE
VenueTechnological and Economic Development of Economy (JOURNAL)
Journal identifiersISSN: 2029-4913 • E-ISSN: 2029-4921
PublisherVilnius Gediminas Technical University (PUBLISHER • LT)
DOI10.3846/tede.2026.26279
OpenAlexW7160919901
LanguageEN
References cited74

This study proposes the integration of Multi-Valued Neutrosophic Numbers (MVNNs) with the Additive Ratio Assessment (ARAS) method to conduct an economic evaluation of multi-criteria decision-making (MCDM) problems under high uncertainty. MVNNs enhance traditional neutrosophic approaches by allowing multiple degrees of truth, indeterminacy, and falsity, providing a richer representation of the ambiguous and often conflicting economic data prevalent in agricultural planning. The proposed MVN-ARAS framework is presented with formal definitions, aggregation operators, and a step-by-step decision-making procedure tailored for economic assessment. Its effectiveness is demonstrated through an illustrative investment case and a real-world application to prioritize and economically evaluate climate change adaptation strategies for smallholder olive growers in Chile’s Coquimbo Region. Results show that drought-resistant olive cultivars and water-saving irrigation technologies achieve the highest relative utility values, indicating their dominant role in improving economic resilience under prolonged water scarcity. In contrast, diversification-oriented measures – such as value-added olive products and rural ecotourism – rank lower but still contribute to long-term income stability. These findings highlight the ability of the MVN-ARAS framework to deliver a structured economic evaluation, a robust ranking of alternatives based on cost-benefit and risk criteria, and improved handling of conflicting expert opinions, offering decision-makers a transparent and reliable tool for strategic investment and resource allocation to enhance economic resilience.

Agriculture · Psychological resilience · Sustainability · Multi-Criteria Decision Making · Optimization and Mathematical Programming · Water resources management and optimization

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