Journal of Intelligent & Fuzzy Systems - Volume 17, issue 3

Authors: Nguyen, Ngoc Thanh | Katarzyniak, Radoslaw Piotr

Article Type: Other

Citation: Journal of Intelligent & Fuzzy Systems, vol. 17, no. 3, pp. 189-190, 2006

Authors: Nowostawski, Mariusz | Purvis, Martin | De Oliveira, Marcos | Cranefield, Stephen

Article Type: Research Article

Abstract: The management of interoperations among agents in an open multi agent system demands a robust organisation mechanism to look after the entire interaction process. In most multi-agent systems, agents communicate and coordinate their activities by sending messages representing particular communicative acts (or performatives). Agent communication languages must strike a balance between simplicity and expressiveness by defining a limited set of communicative act types that fit the communication needs of a wide set …of problems. More complex requirements for particular problems are traditionally handled by defining domain-specific predicates and actions within ontologies. In this paper we argue that ontologies are primarily of practical use only within the domain of agent institutions, and we outline how institutions are modelled and used in the OPAL agent platform that we are developing. We also present and discuss the use of inter-agent commitments as a mechanism within institutions that promotes coordinated activity in organized multi agent societies. Our approach is designed to address the communication needs of multi-agent systems on multiple levels of abstraction, thus providing a general and robust framework for agent-oriented software engineering. Show more

Citation: Journal of Intelligent & Fuzzy Systems, vol. 17, no. 3, pp. 191-207, 2006

Authors: Katarzyniak, Radoslaw P.

Article Type: Research Article

Abstract: In this paper the language grounding problem is considered for a modal language consisting of logic conjunctions extended with modal operators of knowledge, belief and possibility. This language is grounded in an artificial cognitive agent which is located in a world built from objects that can exhibit particular sets of properties. This cognitive agent is equipped with sensors that make it possible to observe states of properties in external objects. Results of observations (reflections of objects) …are collected and treated as the source of data which induces internal meaning accessible to the agent. This meaning is assigned to modal conjunctions. The triple of a modal conjunction, the embodied empirical content and an external object are a particular case of semiotic triangle concept within which the phenomenon of language grounding is modelled and studied. It is assumed that conditions for proper grounding of modal conjunctions are defined by the so called epistemic satisfaction relations which specify what empirical content should be collected in the cognitive agent in order to embody commonsense meaning of modal conjunctions. It is proved in this paper that the accepted definition for epistemic satisfaction results in desirable language behaviour corresponding to commonsense intentional semantics and pragmatics of natural language discourse. The desirable language expectations are considered for uniform sets of modal conjunctions. Show more

Citation: Journal of Intelligent & Fuzzy Systems, vol. 17, no. 3, pp. 209-218, 2006

Authors: Nguyen, Ngoc Thanh

Article Type: Research Article

Abstract: A conflict profile represents a conflict situation and is understood as a set of opinions of agents or experts, who are asked to solve some common problem. Because of the autonomy of experts or agents the elements of a conflict profile often differ from each other. Thus their reconciling is needed for determining a proper opinion or solution of the problem. This proper opinion or solution is called a consensus. Susceptibility to consensus is a very …important feature of conflict situations. One should say that a conflict situation just "incubates" to a consensus if it is possible to determine an agreement which is suitable for all conflict participants. We say that such conflict is susceptible to consensus. In this paper we present two methods for achieving susceptibility for conflict profiles. The first of them relies on modification of a profile by adding o removing elements so that it becomes susceptible to consensus. The second method allows determining a fuzzy weight function for the profile elements to achieve a new consensus susceptible profile. Some algorithms in the second methods are also worked out. Show more

Citation: Journal of Intelligent & Fuzzy Systems, vol. 17, no. 3, pp. 219-229, 2006

Authors: Katarzyniak, Radoslaw P. | Pieczynska-Kuchtiak, Agnieszka

Article Type: Research Article

Abstract: In this paper an approach to resolving semantic inconsistency of incoming messages is proposed. It is assumed that in order to collect knowledge about a current state of properties in an external object a cognitive agent asks other agents located in the same world about their knowledge of this object. The other agents reply by sending messages in which modal formulas extended with operators for knowledge, belief and possibility are conveyed. These formulas are translated by …the receiving cognitive agent into related internal representations and a profile of fuzzy sets representing mental models assigned to collected formulas is developed. Due to the fact that incoming messages carry some content that can differ from one message to another the resulting collection of fuzzy sets can be inconsistent. This inconsistency means that in order to create and communicate its own prepositional attitude the cognitive agent needs to resolve the underlying semantic inconsistency. This resolution of inconsistency is achieved in two steps: the determination of a consensus for the whole profile of fuzzy sets and the choice of a formula representing the content of derived consensus. A simple method is used to derive the consensus and an adaptation of an algorithm for extracting language messages from cognitive agents is presented. This algorithm has been proposed and studied in detail in other cited works. Show more

Citation: Journal of Intelligent & Fuzzy Systems, vol. 17, no. 3, pp. 231-238, 2006

Authors: Davvaz, B. | Corsini, P.

Article Type: Research Article

Abstract: The hypernear-rings generalize the concept of near-rings, in the sense that instead of the operation + the hyperoperation + is defined on the set R, that is a R× R→ p* (R), where p*(R) is the set of all the non-empty subsets of R. The study of hypernear-rings is extremely challenging, effering curiously beautiful results to one who is willing to look for structure where symmetry is not so abundant. In this paper, using the notion …of "belongingness (∈)" and "quasi-coincidence (q)" of fuzzy points with fuzzy sets, the concept of (∈, ∈∨ q)-fuzzy sub-hypernear-ring (hyperideal) is introduced. Characterization and some of the fundamental properties of such fuzzy sub-hypernear-rings (hyperideals) are obtained. (∈, ∈ ∨ q)-fuzzy cosets determined by (∈, ∈ ∨ q)-fuzzy sub-hypernear-rings are discussed. Finally, we give the definition of a fuzzy sub-hypernear-ring (hyperideal) with thresholds which is a generalization of an ordinary fuzzy sub-hypernear-ring (hyperideal) and an (∈, ∈, ∨ q)-fuzzy sub-hypernear-ring (hyperideal). Show more

Keywords: Hypernear-ring, fuzzy set, (∈ ∨ q)-fuzzy sub-hypernear-ring, (∈ ∨ q)-fuzzy hyperideal, fuzzy logic, implication operator

Citation: Journal of Intelligent & Fuzzy Systems, vol. 17, no. 3, pp. 241-251, 2006

Authors: Hashemi, S.M. | Modarres, M. | Nasrabadi, E. | Nasrabadi, M.M.

Article Type: Research Article

Abstract: In this paper, we propose a two-phase approach to find the optimal solutions of a class of fuzzy linear programming problems called fully fuzzified linear programming (FFLP), where all decision parameters and variables are fuzzy numbers. Our approach is constructed on the basis of comparison of mean and standard deviation of fuzzy numbers. In this approach, the first phase maximizes the possibilistic mean value of fuzzy objective function and obtains a set of feasible solutions. The …second phase minimizes the standard deviation of the original fuzzy objective function, by considering all basic feasible solutions obtained at the end of the first phase. The advantage of the proposed approach is its simplicity in programming and computation. Moreover, we also generalize the concept of linear programming duality and extend the duality as well as the weak duality theory to FFLP. Show more

Keywords: Fully fuzzified linear programming, fuzzy numbers, fuzzy linear programming, ranking functions, duality

Citation: Journal of Intelligent & Fuzzy Systems, vol. 17, no. 3, pp. 253-261, 2006

Authors: Paetz, Jürgen

Article Type: Research Article

Abstract: Drug design has emerged as an application area of soft computing methodology. To find potential novel drugs, up to millions of molecules need to be virtually screened by algorithmic techniques using computational devices. Due to the high combinatorial number of molecules experimental costs need to be decreased by improvements of the computational virtual screening method. In this contribution an adaptive neuro-fuzzy system is applied to find interval rules by cutting the adapted trapezoid membership functions, that …provide knowledge about the important class of bioactive molecules as candidates for potential drugs. However, the aim is not to classify all the molecular data, but to find a small region, described by a rule, with a high enrichment of bioactive molecules. This small number of molecules could then be screened in the laboratory, limiting the costs clearly. The generated rules performed mostly better than common similarity measures and decision tree rules. Another part of the work herein was to increase again the perfomance of the best found rules so far by using evolutionary optimization. A comparison of four different parameter settings for the fitness function is given. The results of the hybrid approach are mainly more performant than the neuro-fuzzy interval rules solely. Show more

Citation: Journal of Intelligent & Fuzzy Systems, vol. 17, no. 3, pp. 263-285, 2006

Authors: Parchami, A. | Mashinchi, M. | Maleki, H.R.

Article Type: Research Article

Abstract: Process capability indices are used to determine whether a production process is capable of producing items within specification tolerance. In practice these indices are estimated using sample data, often with quite small sample sizes. Thus, it is of interest to obtain confidence limits for capability index given a sample estimate. Most of the traditional methods for assessing the capability of manufacturing processes are dealing with crisp quality. In this paper we obtain 100(1 − α)% fuzzy …confidence interval for �_p fuzzy process capability index, where instead of precise quality we have two membership functions for specification limits. We present several interpretations for introduced fuzzy confidence interval. Some numerical examples are given to clarify the method. Show more

Keywords: Fuzzy process capability index, triangular fuzzy number, ranking function, fuzzy confidence interval

Citation: Journal of Intelligent & Fuzzy Systems, vol. 17, no. 3, pp. 287-295, 2006

Authors: Ooi, W.S. | Lim, C.P.

Article Type: Research Article

Abstract: In this paper, a new image segmentation approach that integrates color and texture features using the fuzzy c-means clustering algorithm is described. To demonstrate the applicability of the proposed approach to satellite image retrieval, an interactive region-based image query system is designed and developed. A database comprising 400 multispectral satellite images is used to evaluate the performance of the system. The results are analyzed and discussed, and a performance comparison with other methods is …included. The outcomes reveal that the proposed approach is able to improve the quality of the segmentation results as well as the retrieval performance. Show more

Keywords: Image segmentation, fuzzy c-means clustering, color space quantization, co-occurrence matrix, image region extraction, satellite image retrieval

Citation: Journal of Intelligent & Fuzzy Systems, vol. 17, no. 3, pp. 297-311, 2006