Aims

Journal of Intelligent Sustainability and Decision Analytics (JISDA) is an international, peer-reviewed, open-access journal publishing research on analytical and decision-oriented approaches that support sustainability-related decision-making in complex systems, projects, and policy contexts. The journal addresses sustainability challenges as structured decision problems characterised by multiple objectives, competing criteria, uncertainty, and incomplete information. It examines how such problems are analysed and resolved through formal decision models, quantitative frameworks, and systematic evaluation methods.

The journal emphasises methodological contributions that advance the design, validation, and critical examination of decision analytics and modelling frameworks in sustainability contexts. While sustainability assessment constitutes an important component of this domain, JISDA extends beyond assessment exercises to include decision support, optimisation-informed evaluation, structured comparison of alternatives, and analytical reasoning that clarifies how sustainability choices are constructed and justified.

Submissions are expected to demonstrate explicit modelling structures, transparent assumptions, and rigorous validation procedures. Descriptive or purely thematic discussions without a clearly defined decision or evaluation framework fall outside the scope of the journal. JISDA operates at the intersection of sustainability studies, decision science, systems analysis, optimisation, and quantitative modelling, maintaining a strong commitment to analytical rigour, transparency, and reproducibility.

The journal publishes conceptual, methodological, computational, and applied research that strengthens robust and accountable sustainability-related decision-making across engineering, management, environmental, infrastructure, energy, and policy domains. JISDA is published quarterly by Acadlore and adheres to established international standards of peer review and editorial governance.

Key features of JISDA include:

• Sustainability-related decision-making and evaluation are treated as analytical and methodological problems rather than as purely thematic discussions.

• Emphasis is placed on formal decision analytics, modelling structures, and evaluation logic supporting structured comparison, prioritisation, optimisation, and choice under uncertainty.

• Particular attention is given to the construction and validation of evaluation frameworks, indicator systems, weighting mechanisms, and decision rules, as well as to their influence on analytical outcomes.

• The journal encourages examination of robustness, structural sensitivity, transparency, and empirical validation in sustainability decision-support models.

• Ethical, societal, and governance dimensions are considered where they are formally embedded within decision structures, criteria systems, or modelling assumptions.

• Comparative and cross-method studies are welcomed where they clarify how alternative analytical approaches yield differing conclusions across systems or sectors.

• Editorial evaluation prioritises methodological clarity, reproducibility, and transparent modelling assumptions.

Scope

JISDA welcomes original research articles, theoretical contributions, systematic reviews, and analytically grounded empirical or computational studies that advance structured understanding of sustainability-oriented decision-making. Submissions should maintain a clear focus on decision analytics, modelling frameworks, or formal evaluation methods applied to sustainability challenges. Topics include, but are not limited to:

Sustainability-Oriented Decision and Evaluation Frameworks

• Design and structuring of criteria systems, indicator hierarchies, and evaluation logic

• Comparative evaluation of sustainability alternatives across systems and spatial scales

• Integrated environmental, economic, and social decision models

• Representation of uncertainty, ambiguity, and subjective judgement in formal sustainability analysis

• Development of structured evaluation architectures for long-term sustainability planning

Decision Analytics and Multi-Criteria Methods

• Multi-criteria decision analysis (AHP, ANP, TOPSIS, VIKOR, PROMETHEE, ELECTRE and related approaches)

• Hybrid decision-support frameworks integrating quantitative and expert-based inputs

• Sensitivity, stability, and robustness analysis of decision outcomes

• Group decision-making and stakeholder preference modelling

• Optimisation-informed evaluation and structured trade-off analysis

Uncertainty and Advanced Modelling Approaches

• Probabilistic, fuzzy, evidential, Bayesian, interval, and robust modelling techniques

• Formal treatment of incomplete or imprecise information in sustainability evaluation

• Data-informed analytical approaches supporting structured decision processes

• Integration of decision models with simulation, optimisation, and scenario analysis

• Model validation, interpretability, and reproducibility

Applications in Sustainability-Oriented Systems

• Decision analytics for energy systems, renewable deployment, decarbonisation strategies, and transition planning

• Evaluation of circular economy strategies, resource efficiency policies, and waste management systems

• Sustainability decision models for industrial, urban, transportation, and infrastructure systems

• Comparative analysis of land-use planning and infrastructure development options

• Decision support for long-term system transformation and climate resilience strategies

• ESG-integrated analytical models in supply chains and infrastructure systems

Evaluation and Methodological Reflection

• Benchmarking and comparative analysis of sustainability decision methodologies

• Validation and performance assessment of decision-support frameworks

• Critical examination of modelling assumptions and analytical bias

• Robustness, transparency, and reproducibility in sustainability decision analytics

• Methodological implications for policy design and strategic planning

Related and Emerging Topics

• Dynamic and longitudinal sustainability evaluation

• Scenario-based and exploratory decision analytics

• Integration of evaluation models with optimisation, simulation, and system dynamics

• Structured analysis of trade-offs and synergies across sustainability dimensions

• Scaling decision models across local, regional, national, and global contexts