Test-score semantics as a basis for a computational approach to the representation of meaning
Literary & Linguistic Computing
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IEEE Transactions on Software Engineering
IWSSD '89 Proceedings of the 5th international workshop on Software specification and design
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An incremental constraint solver
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An introduction to possibilistic and fuzzy logics
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Negotiation behavior during requirements specification
ICSE '90 Proceedings of the 12th international conference on Software engineering
The Requirements Apprentice: Automated Assistance for Requirements Acquisition
IEEE Transactions on Software Engineering
Goal-directed requirements acquisition
6IWSSD Selected Papers of the Sixth International Workshop on Software Specification and Design
Interdependence in fuzzy multiple objective programming
Fuzzy Sets and Systems
A Framework for Expressing the Relationships Between Multiple Views in Requirements Specification
IEEE Transactions on Software Engineering
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Fuzzy Sets and Systems - Special issue on operations research
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
A Task-Based Methodology for Specifying Expert Systems
IEEE Expert: Intelligent Systems and Their Applications
Task-Based Specifications Through Conceptual Graphs
IEEE Expert: Intelligent Systems and Their Applications
Quality Measures and Assurance for AI (Artificial Intelligence) Software
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IEEE Transactions on Knowledge and Data Engineering
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ICTAI '99 Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence
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ER'06 Proceedings of the 25th international conference on Conceptual Modeling
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In this paper, we propose a faceted requirement classification scheme for analyzing heterogeneous requirements. The representation of vague requirements is based on Zadeh's canonical form in test-score semantics and an extension of the notion of soft conditions. The trade-off among vague requirements is analyzed by identifying the relationship between requirements, which could be either conflicting, irrelevant, cooperative, counterbalance, or independent. Parameterized aggregation operators, fuzzy and/or, are selected to combine individual requirements. An extended hierarchical aggregation structure is proposed to establish a four-level requirements hierarchy to facilitate requirements and criticalities aggregation through the fuzzy and/or. A compromise overall requirement can be obtained through the aggregation of individual requirements based on the requirements hierarchy. The proposed approach provides a framework for formally analyzing and modeling conflicts between requirements, and for users to better understand relationships among their requirements.