Compatibility Measures Research Articles

Compatibility Analysis of Intuitionistic Fuzzy Preference Relations in Group Decision Making

Compatibility analysis is an efficient and important tool used to measure the consensus of opinions within a given group of individuals. In this paper, we give a compatibility measure between intuitionistic preference values and a compatibility measure between intuitionistic preference relations, respectively, and study their properties. It is shown that each individual intuitionistic preference relation and the collective intuitionistic preference relation is perfectly compatible if and only if all the individual intuitionistic preference relations are perfectly compatible. Based on the compatibility measures, a consensus reaching procedure in group decision making with intuitionistic preference relations is developed, and a method for comparing intuitionistic fuzzy values is pointed out, by which the considered objects are ranked and selected. In addition, we extend the developed measures, procedure and method to accommodate group decision making situations with interval-valued intuitionistic preference relations. Numerical analysis on our results through an illustrative example is also carried out.

English

This paper discusses the procedure adapted after carrying out several iterations for selecting an ideal location to introduce a high power high frequency (HF) transmitter-receiver in a tactical combat vehicle from electromagnetic compatibility view. This radio set contributes for very high field strength to neighbouring electronic devices and other very high frequency (VHF) Tx-Rx situated in the same vehicular platform. An integrated approach was followed in deciding the optimum solution to locate the HF radio set. Leakage from HF radio set is to be minimised within the vehicle to reduce the field coupling level to neighbouring equipment. Radiation from HF antenna was maximised by careful installation of antenna, outside the vehicle environment to ensure optimum radiation of intended signal. Voltage standing wave ratio (VSWR) measurement was carried out to verify this. Four different locations experimented have been reported in this paper. The vehicle penetration loss (VPL) can reveal the amount of leakage from external field generated by antennas to field inside the turret. The HF, being a congested operating spectrum, due care was taken in electromagnetic interference control of HF-VHF radios and other tank electronic subsystems. High RF power of HF transmitter and very high sensitivity of HF receiver could affect systems either way. Hence, electromagnetic compatibility (EMC) measures and optimum location of HF radio set are important from MIL-STD461 C, MIL6051-D/MIL-STD464A point of view.Defence Science Journal, 2010, 60(3), pp.302-306, DOI:http://dx.doi.org/10.14429/dsj.60.357

Performance improvement in supply chains through better partners’ selection

The increasing product complexity leads supply chains to take more and more account of realization phase expectations. This paper discusses exploratory results about the measurement of collaboration situations between partners of a given product development project. The product architecture is used as a tool to model the supply chain using the gBOMO (generalised Bill Of Materials and Operations). The proposed approach models simultaneously product and supply chain architectures pointing out the sequencing of tasks and intertwined relations between partners. Through the introduction of compatibility, the goal is to help a company's managers to select their most relevant partners not only based on suppliers’ selection criteria but also by using the inter-partners compatibility. To do so, it will be necessary to develop compatibility measures which should be assessed for each couple of immediate neighbour partners. We suggest a classification of different collaboration situations allowing performance improvement. This early consideration of partners’ compatibility could provide more relevant supply chain avoiding dysfunctions occurring during later phases.

Cohesion, Alliance, and Outcome in Group Psychotherapy: Comments on Joyce et al. (2007) and Johnson (2007)

I have read with great interest Joyce, Piper, & Ogrodniczuk’s (2007) article about therapeutic alliance, cohesion, and outcome in group psychotherapy, where alliance emerged as a more consistent predictor of outcome than cohesion. The data were taken from a comparative trial of two forms of time–limited group psychotherapy for complicated grief (12 sessions of interpretive or supportive group psychotherapy), and patients and the therapists rated a four–item measure of the therapeutic alliance after every session. The patient and therapist scores (means of the session scores) served as two summary measures of the therapeutic alliance over the entire course of therapy. The cohesion was rated from each individual participant’s perspective and consisted of every patient’s commitment to the group (rated after every session by each patient), the compatibility between the patient and the other members of the group (both the average of the patient’s ratings of the other members, and the average of the other members’ ratings of the patient), and finally the patient–therapist compatibility (as perceived both by the patient and the therapist). The compatibility measures were administered after Sessions 4, 8, and 12. The

Utilizing fuzzy compatibility of skill sets for team selection in multi-phase projects

Abstract In this paper, a model is developed for the selection of personnel for a multiple phase project which takes into account the match between the skills possessed by each individual, the skills needed for each phase, and rather flexible budget considerations. The algorithm uses the fuzzy construct of compatibility to measure the fit of a person’s skill set to the goal set for each project phase. Based on the individual fuzzy compatibility measures, the team is formed from combined levels of compatibility and acceptable levels of quality defined for the goal set. 1 Introduction , 2 Background present the background information necessary to an understanding of project management phases and compatibility of skills. The development of the model and subsequent algorithm in 3 Model development , 4 Application , respectively rely on fuzzy measures of compatibility. Finally, an application is presented in Section 4 with conclusions stated in Section 5 .

FOV 분할을 위한 Hopfield Network

An optimization approach is used to partition the field of view. A cost function is defined to represent the constraints on the solution, which is then mapped onto a two-dimensional Hopfield neural network for minimization. Each neuron in the network represents a possible match between a field of view and one or multiple objects. Partition is achieved by initializing each neuron that represents a possible match and then allowing the network to settle down into a stable state. The network uses the initial inputs and the compatibility measures between a field of view and one or multiple objects to find a stable state.

Fuzzy arithmetic-based interpolative reasoning for nonlinear dynamic fuzzy systems

FAIR (fuzzy arithmetic-based interpolative reasoning)—a fuzzy reasoning scheme based on fuzzy arithmetic, is presented here. Linguistic rules of the Mamdani type, with fuzzy numbers as consequents, are used in an inference mechanism similar to that of a Takagi–Sugeno model. The inference result is a weighted sum of fuzzy numbers, calculated by means of the extension principle. Both fuzzy and crisp inputs and outputs can be used, and the chaining of rule bases is supported without increasing the spread of the output fuzzy sets in each step. This provides a setting for modeling dynamic fuzzy systems using fuzzy recursion. The matching in the rule antecedents is done by means of a compatibility measure that can be selected to suit the application at hand. Different compatibility measures can be used for different antecedent variables, and reasoning with sparse rule bases is supported. The application of FAIR to the modeling of a nonlinear dynamic system based on a combination of knowledge-driven and data-driven approaches is presented as an example.

Robust tracking of multiple objects in sector-scan sonar image sequences using optical flow motion estimation

The fast update rate and good performance of new generation electronic sector scanning sonars is now allowing practicable use of temporal information for signal processing tasks such as object classification and motion estimation. Problems remain, however, as objects change appearance, merge, maneuver, move in and out of the field of view, and split due to poor segmentation. This paper presents an approach to the segmentation, two-dimensional motion estimation, and subsequent tracking of multiple objects in sequences of sector scan sonar images. Applications such as ROV obstacle avoidance, visual servoing, and underwater surveillance are relevant. Initially, static and moving objects are distinguished in the sonar image sequence using frequency-domain filtering. Optical flow calculations are then performed on moving objects with significant size to obtain magnitude and direction motion estimates. Matches of these motion estimates, and the future positions they predict, are then used as a basis for identifying corresponding objects in adjacent scans. To enhance robustness, a tracking tree is constructed storing multiple possible correspondences and cumulative confidence values obtained from successive compatibility measures. Deferred decision making is then employed to enable best estimates of object tracks to be updated as subsequent scans produce new information. The method is shown to work well, with good tracking performance when objects merge, split, and change shape. The optical flow is demonstrated to give position prediction errors of between 10 and 50 cm (1%-5% of scan range), with no violation of smoothness assumptions using sample rates between 4 and 1 frames/s.

Fuzzy Arithmetic-Based Interpolative Reasoning

Abstract FAIR - Fuzzy Arithmetic based Interpolative Reasoning is presented. Linguistic rules of the Mamdani type with fuzzy numbers as consequents are used in an inference mechanism similar to that of the Takagi-Sugeno model. The inference result is a weighted sum of fuzzy numbers calculated by means of the extension principle. Both fuzzy and crisp inputs and outputs can be used, and chaining of rule bases is supported without increasing the fuzziness in each step. This provides a setting for the modeling of dynamic fuzzy systems by fuzzy recursion. The matching in the rule antecedents is done by means of a compatibility measure. Different compatibility measures can be used for different antecedent variables, and reasoning with sparse rule bases is supported. Application of FAIR to the modeling of a nonlinear dynamic system is presented as an example.

Integration of fuzzy numbers corresponding to static knowledge and dynamic information

An integration scheme of fuzzy numbers corresponding to static type knowledge and dynamic information is presented. The integration scheme, denoted by compatibility integration scheme (CIS), is content dependent and is based on the concept of compatibility between existing knowledge and information. It is motivated by the hypothesis that information serves to support existing knowledge when it is consistent with it, and to modify and update existing knowledge when the two differ substantially. Several compatibility measures are suggested and analyzed.

Discriminate Compatibility Measures and the Reduction Routine

?Discriminate compatibility measures are introduced. The character discriminate compatibility and the average character discriminate compatibility measures are used in weighted parsimony analysis in an iterative procedure, the reduction routine, to build trees. The data set discriminate compatibility measure is used to order and polarize characters. The average data set discriminate compatibility measure is used to measure the fit of different data sets and different user trees. Three inadequacies in the Le Quesne compatibility tests (Le Quesne, 1969, Syst. Zool. 18:201-205; 1979, Syst. Zool. 28:92-94) as applied by Penny and Hendy (1985, Cladistics 1:266272; 1986, Mol. Biol. Evol. 3:403-417) and Sharkey (1989, Cladistics 5:63-86) are discussed. [Char? acter weighting; cladistics; compatibility; congruence; consistency index; phylogeny.] The importance, for classification, of trifling char? acters, mainly depends on their being correlated with many other characters. ?Charles Darwin, 1859:417 The more correlated a character state is with respect to other character states, the more one may be convinced that it is a synapomorphy. As indicated by the quo? tation from Darwin, the criterion of cor? relation has been an intuitive method of character evaluation for almost 150 years. In the present paper, I attempt to quantify this thinking to obtain an objective, ra? tional, and repeatable method of phylo? genetic reconstruction. There are two basic types of character correlation. When characters are correlated with respect to a phylogenetic hypothesis, they are termed congruent with the hy? pothesis. When characters are correlated with each other in the data set, they are termed compatible. Farris (1971) made these distinctions clear. Compatibility (a form of which is used here) is an a priori concept of correlation, whereas congruence is an a posteriori notion. The two most fundamental questions to be addressed in this paper are how does one measure compatibility, and how is this 1 E-mail: sharkeym@ncccot2.agr.ca. measure employed to obtain hypotheses of phylogenetic relationship? A priori assumptions of the method de? scribed here are that there are two reasons for character compatibility, i.e., phylogeny and chance. At least in part, homoplastic characters may be compatible with synapomorphies and with other homoplastic characters by chance. When choosing be? tween two incompatible characters (one of which must be homoplastic), the character with a distribution most likely to be the product of chance should be rejected in favor of that with a distribution that is un? likely to be the result of chance. Le Quesne (1979) presented a method for measuring the reliability of polarized data that was derived from a method for un? polarized data from an earlier paper (Le Quesne, 1969). In these papers, Le Quesne treat d each occurrence of a character in? dependently such that each character was hypothesized to be a collection of random events. The method proposed here also uses this model of randomness. As pointed out by Farris (1977:79-80), this model of ran? domness does not accurately reflect the properties of homoplastic characters. If the assumptions of randomness and indepen? dence made by Le Quesne were fully justified for all characters, there would be little point in at? tempting phylogenetic analysis, for these assump? tions effectively exclude the possibility of any tax-

Discriminate Compatibility Measures and the Reduction Routine

Discriminate Compatibility Measures and the Reduction Routine

Fuzzy information retrieval

Over the past decade, information retrieval has emerged as an active research area in the application of fuzzy set theory. Fuzzy information retrieval utilizes fuzzy sets to represent documents, membership degrees for query term relevance, fuzzy logical operators to define queries, and fuzzy compatibility measures to assess the retrieval status value of a document. This paper presents an overview of fuzzy relational databases and fuzzy information retrieval. A general description of the main components of fuzzy information retrieval are given: document representation, query representation, computer-aided query formulation, document retrieval status, and performance measures. Examples of areas currently being researched are provided. The relation between fuzzy information retrieval and fuzzy relational databases is examined.

A stereo vision technique using curve-segments and relaxation matching

A multichannel feature-based stereo vision technique where curve segments are used as feature primitives in the matching process is described. The left image and the right image are filtered by using several Laplacian-of-Gaussian operators of different widths (channels). Curve segments are extracted by a tracking algorithm, and their centroids are obtained. At each channel, the generalized Hough transform of each curve segment in the left and the right image is evaluated. The epipolar constraint on the centroids of the curve segment and the channel size is used to limit the searching space in the right image. To resolve the ambiguity of the false targets (multiple matches), a relaxation technique is used where the initial scores of the node assignments are updated by the compatibility measures between the centroids of the curve segments. The node assignments with the highest score are chosen as the matching curve segments.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Hopfield network for stereo vision correspondence

An optimization approach is used to solve the correspondence problem for a set of features extracted from a pair of stereo images. A cost function is defined to represent the constraints on the solution, which is then mapped onto a two-dimensional Hopfield neural network for minimization. Each neuron in the network represents a possible match between a feature in the left image and one in the right image. Correspondence is achieved by initializing (exciting) each neuron that represents a possible match and then allowing the network to settle down into a stable state. The network uses the initial inputs and the compatibility measures between the matched points to find a stable state.

THE IMPACT OF A FLOWER-COLOR POLYMORPHISM ON MATING PATTERNS IN EXPERIMENTAL POPULATIONS OF WILD RADISH (RAPHANUS RAPHANISTRUM L.).

We conducted field experiments to determine how a naturally occurring petal-color polymorphism influences mating patterns in wild radish (Raphanus raphanistrum). The polymorphism is controlled at a single genetic locus, with white petal color being completely dominant to yellow. In experimental populations with equal numbers of yellow- and white-flowered homozygous individuals, insect visitors strongly discriminated against white flowers. Pieris rapae, the most frequent pollinator, was almost 50% more likely to visit yellow than white flowers. Maternal fecundity did not differ between the morphs and was not significantly influenced by a plant's compatibility with potential donors, suggesting that seed production was not limited by receipt of compatible pollen. In contrast, the yellow-flowered morph sired approximately 75% of all seeds produced during the study. This paternity proportion was consistently greater than that expected on the basis of postpollination compatibility measures and was indistinguishable from that expected on the basis of pollinator-visitation frequency. We conclude that the male-fitness advantage of the yellow morph resulted from enhanced pollen export due to the greater attractiveness of its flowers to insect pollinators. With color morphs evenly distributed in experimental arrays, insects did not move assortatively on the basis of petal color, and we found no evidence for assortative pollen flow due to the floral polymorphism. Once postpollination compatibility relationships within populations were taken into account, paternal success of yellow donors did not differ between yellow- and white-flowered maternal plants.

Compatibility and Successful Performance

The study examined the relationship of compatibility among elite wrestlers and their coaches to relative success in performance. Compatibility was assessed using both Schutz's (1966) FIRO-B and the coaches' and athletes' perceptions of the athletes' communicativeness, receptivity to instructor, and withdrawnness. The athletes assessed their performance relative to (a) other wrestlers in their competitive class and (b) their precompetition expectations. None of the compatibility measures significantly accounted for variance in the first measure. Relative to precompetition expectations, the athletes' assessment of their communication and withdrawnness accounted for 64% of the variance.

Interpersonal Compatibility and Workgroup Performance

Schutz hypothesized in his theory of interpersonal relations that more interpersonally compatible groups will exhibit greater productivity. Until recently, this proposition has remained largely untested for workgroups. The present study examined 22 teams of systems analysts working at the corporate headquarters of a large oil company. Interpersonal compatibility was measured by using Schuitz's standard instrument, and productivity measurements utilized paired comparisons. Ranks on the compatibility and productivity measures of paired teams were then compared. The hypothesis was not supported; in fact, the data strongly suggest the opposite notion, that more incompatible groups are likely to be judged as more productive. Reciprocal and interchange incompatibilities were found to be particularly associated with the higher-rated groups. This result suggests that moderate tension within groups, not interpersonal harmony, leads to productivity; however, task interdependence could be an important moderating variable and should be incorporated into future studies.

Fundamental intepersonal relations orientations in dyads: An empirical analysis of Schutz's FIRO‐B as an index of compatibility

This series of studies investigates the potential usefulness of William Schutz's theory of interpersonal relations orientations for the study of communication. Based on their analysis of the descriptive and explanatory power of scores produced by responses to Schutz's instrument, FIRO‐B, the authors challenge the three‐dimensional classification of interpersonal needs as well as the argument concerning three distinct forms of interpersonal compatibility. The results indicate that FIRO‐B may be structurally biased against the interpersonal need to control or be controlled and that the compatibility measures derived from the test, although useful for examining certain broadgauge predictions, do not permit intensive analysis of the functional relationship between interpersonal orientations and communicative processes in dyads.

The heat regulation of small laboratory animals at various environmental temperatures: Herrington, L. P.: Am. J. Physiol. 129: 123, 1940

Research indicated that (i) vaginal orgasm consistency is associated with indices of psychological, intimate relationship, and physiological functioning, and (ii) masturbation is adversely associated with some such measures.The aim of this study was to examine the association of various dyadic and masturbation behavior frequencies and percentage of female orgasms during these activities with: (i) measures of dyadic adjustment; (ii) sexual satisfaction; and (iii) compatibility perceived by both partners.In a sample of 85 Czech long‐term couples (aged 20–40; mean relationship length 5.4 years), both partners provided details of recent sexual behaviors and completed sexual satisfaction, Spanier dyadic adjustment, and Hurlbert sexual compatibility measures. Multiple regression analyses were used.The association of sexual behaviors with dyadic adjustment, sexual compatibility, and satisfaction was analyzed.In multivariate analyses, women's dyadic adjustment is independently predicted by greater vaginal orgasm consistency and lower frequency of women's masturbation. For both sexes, sexual compatibility was independently predicted by higher frequency of penile–vaginal intercourse and greater vaginal orgasm consistency. Women's sexual satisfaction score was significantly predicted by greater vaginal orgasm consistency, frequency of partner genital stimulation, and negatively with masturbation. Men's sexual satisfaction score was significantly predicted by greater intercourse frequency and any vaginal orgasm of their female partners. Concordance of partner vaginal orgasm consistency estimates was associated with greater dyadic adjustment.The findings suggest that specifically penile–vaginal intercourse frequency and vaginal orgasm consistency are associated with indices of greater intimate relationship adjustment, satisfaction, and compatibility of both partners, and that women's masturbation is independently inversely associated with measures of dyadic and personal function. Results are discussed in light of previous research and an evolutionary theory of vaginal orgasm. Klapilová K, Brody S, Krejčová L, Husárová B, and Binter J. Sexual satisfaction, sexual compatibility, and relationship adjustment in couples: The role of sexual behaviors, orgasm, and men's discernment of women's intercourse orgasm. J Sex Med 2015;12:667–675.